id	sid	tid	token	lemma	pos
cord-005496-cnwg4dnn	1	1	key	key	JJ
cord-005496-cnwg4dnn	2	1	:	:	:
cord-005496-cnwg4dnn	2	2	cord-005496-cnwg4dnn	cord-005496-cnwg4dnn	NFP
cord-005496-cnwg4dnn	2	3	authors	author	NNS
cord-005496-cnwg4dnn	2	4	:	:	:
cord-005496-cnwg4dnn	2	5	Gutierrez	Gutierrez	NNP
cord-005496-cnwg4dnn	2	6	,	,	,
cord-005496-cnwg4dnn	3	1	Guillermo	Guillermo	NNP
cord-005496-cnwg4dnn	3	2	title	title	NN
cord-005496-cnwg4dnn	3	3	:	:	:
cord-005496-cnwg4dnn	3	4	Artificial	Artificial	NNP
cord-005496-cnwg4dnn	3	5	Intelligence	Intelligence	NNP
cord-005496-cnwg4dnn	3	6	in	in	IN
cord-005496-cnwg4dnn	3	7	the	the	DT
cord-005496-cnwg4dnn	3	8	Intensive	Intensive	NNP
cord-005496-cnwg4dnn	3	9	Care	Care	NNP
cord-005496-cnwg4dnn	3	10	Unit	Unit	NNP
cord-005496-cnwg4dnn	3	11	date	date	NN
cord-005496-cnwg4dnn	3	12	:	:	:
cord-005496-cnwg4dnn	3	13	2020	2020	CD
cord-005496-cnwg4dnn	3	14	-	-	HYPH
cord-005496-cnwg4dnn	3	15	03	03	CD
cord-005496-cnwg4dnn	3	16	-	-	HYPH
cord-005496-cnwg4dnn	3	17	24	24	CD
cord-005496-cnwg4dnn	3	18	journal	journal	NN
cord-005496-cnwg4dnn	3	19	:	:	:
cord-005496-cnwg4dnn	4	1	Crit	Crit	NNP
cord-005496-cnwg4dnn	4	2	Care	Care	NNP
cord-005496-cnwg4dnn	4	3	DOI	doi	NN
cord-005496-cnwg4dnn	4	4	:	:	:
cord-005496-cnwg4dnn	5	1	10.1186	10.1186	CD
cord-005496-cnwg4dnn	5	2	/	/	SYM
cord-005496-cnwg4dnn	5	3	s13054	s13054	NN
cord-005496-cnwg4dnn	5	4	-	-	HYPH
cord-005496-cnwg4dnn	5	5	020	020	CD
cord-005496-cnwg4dnn	5	6	-	-	HYPH
cord-005496-cnwg4dnn	5	7	2785-y	2785-y	ADD
cord-005496-cnwg4dnn	6	1	sha	sha	NNP
cord-005496-cnwg4dnn	6	2	:	:	:
cord-005496-cnwg4dnn	7	1	1d8a09e08413da9a88008682da022e3ed1c7a61c	1d8a09e08413da9a88008682da022e3ed1c7a61c	CD
cord-005496-cnwg4dnn	7	2	doc_id	doc_id	CD
cord-005496-cnwg4dnn	7	3	:	:	:
cord-005496-cnwg4dnn	7	4	5496	5496	CD
cord-005496-cnwg4dnn	7	5	cord_uid	cord_uid	NNS
cord-005496-cnwg4dnn	7	6	:	:	:
cord-005496-cnwg4dnn	8	1	cnwg4dnn	cnwg4dnn	XX
cord-005496-cnwg4dnn	9	1	This	this	DT
cord-005496-cnwg4dnn	9	2	article	article	NN
cord-005496-cnwg4dnn	9	3	is	be	VBZ
cord-005496-cnwg4dnn	9	4	one	one	CD
cord-005496-cnwg4dnn	9	5	of	of	IN
cord-005496-cnwg4dnn	9	6	ten	ten	CD
cord-005496-cnwg4dnn	9	7	reviews	review	NNS
cord-005496-cnwg4dnn	9	8	selected	select	VBN
cord-005496-cnwg4dnn	9	9	from	from	IN
cord-005496-cnwg4dnn	9	10	the	the	DT
cord-005496-cnwg4dnn	9	11	Annual	Annual	NNP
cord-005496-cnwg4dnn	9	12	Update	update	NN
cord-005496-cnwg4dnn	9	13	in	in	IN
cord-005496-cnwg4dnn	9	14	Intensive	Intensive	NNP
cord-005496-cnwg4dnn	9	15	Care	Care	NNP
cord-005496-cnwg4dnn	9	16	and	and	CC
cord-005496-cnwg4dnn	9	17	Emergency	Emergency	NNP
cord-005496-cnwg4dnn	9	18	Medicine	Medicine	NNP
cord-005496-cnwg4dnn	9	19	2020	2020	CD
cord-005496-cnwg4dnn	9	20	.	.	.
cord-005496-cnwg4dnn	10	1	Other	other	JJ
cord-005496-cnwg4dnn	10	2	selected	select	VBN
cord-005496-cnwg4dnn	10	3	articles	article	NNS
cord-005496-cnwg4dnn	10	4	can	can	MD
cord-005496-cnwg4dnn	10	5	be	be	VB
cord-005496-cnwg4dnn	10	6	found	find	VBN
cord-005496-cnwg4dnn	10	7	online	online	RB
cord-005496-cnwg4dnn	10	8	at	at	IN
cord-005496-cnwg4dnn	10	9	https://www.biomedcentral.com/collections/annualupdate2020	https://www.biomedcentral.com/collections/annualupdate2020	ADD
cord-005496-cnwg4dnn	10	10	.	.	.
cord-005496-cnwg4dnn	11	1	Further	further	JJ
cord-005496-cnwg4dnn	11	2	information	information	NN
cord-005496-cnwg4dnn	11	3	about	about	IN
cord-005496-cnwg4dnn	11	4	the	the	DT
cord-005496-cnwg4dnn	11	5	Annual	Annual	NNP
cord-005496-cnwg4dnn	11	6	Update	update	NN
cord-005496-cnwg4dnn	11	7	in	in	IN
cord-005496-cnwg4dnn	11	8	Intensive	Intensive	NNP
cord-005496-cnwg4dnn	11	9	Care	Care	NNP
cord-005496-cnwg4dnn	11	10	and	and	CC
cord-005496-cnwg4dnn	11	11	Emergency	Emergency	NNP
cord-005496-cnwg4dnn	11	12	Medicine	Medicine	NNP
cord-005496-cnwg4dnn	11	13	is	be	VBZ
cord-005496-cnwg4dnn	11	14	available	available	JJ
cord-005496-cnwg4dnn	11	15	from	from	IN
cord-005496-cnwg4dnn	11	16	http://www.springer.com/series/8901	http://www.springer.com/series/8901	NNP
cord-005496-cnwg4dnn	11	17	.	.	.
cord-005496-cnwg4dnn	12	1	The	the	DT
cord-005496-cnwg4dnn	12	2	past	past	JJ
cord-005496-cnwg4dnn	12	3	century	century	NN
cord-005496-cnwg4dnn	12	4	has	have	VBZ
cord-005496-cnwg4dnn	12	5	witnessed	witness	VBN
cord-005496-cnwg4dnn	12	6	a	a	DT
cord-005496-cnwg4dnn	12	7	massive	massive	JJ
cord-005496-cnwg4dnn	12	8	increase	increase	NN
cord-005496-cnwg4dnn	12	9	in	in	IN
cord-005496-cnwg4dnn	12	10	our	-PRON-	PRP$
cord-005496-cnwg4dnn	12	11	ability	ability	NN
cord-005496-cnwg4dnn	12	12	to	to	TO
cord-005496-cnwg4dnn	12	13	perform	perform	VB
cord-005496-cnwg4dnn	12	14	complex	complex	JJ
cord-005496-cnwg4dnn	12	15	calculations	calculation	NNS
cord-005496-cnwg4dnn	12	16	.	.	.
cord-005496-cnwg4dnn	13	1	The	the	DT
cord-005496-cnwg4dnn	13	2	development	development	NN
cord-005496-cnwg4dnn	13	3	of	of	IN
cord-005496-cnwg4dnn	13	4	the	the	DT
cord-005496-cnwg4dnn	13	5	transistor	transistor	NN
cord-005496-cnwg4dnn	13	6	in	in	IN
cord-005496-cnwg4dnn	13	7	the	the	DT
cord-005496-cnwg4dnn	13	8	1950s	1950	NNS
cord-005496-cnwg4dnn	13	9	,	,	,
cord-005496-cnwg4dnn	13	10	followed	follow	VBN
cord-005496-cnwg4dnn	13	11	by	by	IN
cord-005496-cnwg4dnn	13	12	the	the	DT
cord-005496-cnwg4dnn	13	13	silicone	silicone	NN
cord-005496-cnwg4dnn	13	14	integrated	integrate	VBN
cord-005496-cnwg4dnn	13	15	circuit	circuit	NN
cord-005496-cnwg4dnn	13	16	,	,	,
cord-005496-cnwg4dnn	13	17	accelerated	accelerate	VBD
cord-005496-cnwg4dnn	13	18	those	those	DT
cord-005496-cnwg4dnn	13	19	capabilities	capability	NNS
cord-005496-cnwg4dnn	13	20	and	and	CC
cord-005496-cnwg4dnn	13	21	gave	give	VBD
cord-005496-cnwg4dnn	13	22	rise	rise	NN
cord-005496-cnwg4dnn	13	23	to	to	IN
cord-005496-cnwg4dnn	13	24	what	what	WP
cord-005496-cnwg4dnn	13	25	is	be	VBZ
cord-005496-cnwg4dnn	13	26	commonly	commonly	RB
cord-005496-cnwg4dnn	13	27	known	know	VBN
cord-005496-cnwg4dnn	13	28	as	as	IN
cord-005496-cnwg4dnn	13	29	Moore	Moore	NNP
cord-005496-cnwg4dnn	13	30	's	's	POS
cord-005496-cnwg4dnn	13	31	Law	Law	NNP
cord-005496-cnwg4dnn	13	32	.	.	.
cord-005496-cnwg4dnn	14	1	According	accord	VBG
cord-005496-cnwg4dnn	14	2	to	to	IN
cord-005496-cnwg4dnn	14	3	this	this	DT
cord-005496-cnwg4dnn	14	4	principle	principle	NN
cord-005496-cnwg4dnn	14	5	,	,	,
cord-005496-cnwg4dnn	14	6	the	the	DT
cord-005496-cnwg4dnn	14	7	number	number	NN
cord-005496-cnwg4dnn	14	8	of	of	IN
cord-005496-cnwg4dnn	14	9	transistors	transistor	NNS
cord-005496-cnwg4dnn	14	10	packed	pack	VBN
cord-005496-cnwg4dnn	14	11	into	into	IN
cord-005496-cnwg4dnn	14	12	a	a	DT
cord-005496-cnwg4dnn	14	13	dense	dense	JJ
cord-005496-cnwg4dnn	14	14	integrated	integrate	VBN
cord-005496-cnwg4dnn	14	15	circuit	circuit	NN
cord-005496-cnwg4dnn	14	16	doubles	double	VBZ
cord-005496-cnwg4dnn	14	17	every	every	DT
cord-005496-cnwg4dnn	14	18	2	2	CD
cord-005496-cnwg4dnn	14	19	years	year	NNS
cord-005496-cnwg4dnn	14	20	.	.	.
cord-005496-cnwg4dnn	15	1	The	the	DT
cord-005496-cnwg4dnn	15	2	corollary	corollary	NN
cord-005496-cnwg4dnn	15	3	is	be	VBZ
cord-005496-cnwg4dnn	15	4	that	that	IN
cord-005496-cnwg4dnn	15	5	computation	computation	NN
cord-005496-cnwg4dnn	15	6	speed	speed	NN
cord-005496-cnwg4dnn	15	7	also	also	RB
cord-005496-cnwg4dnn	15	8	doubles	double	VBZ
cord-005496-cnwg4dnn	15	9	at	at	IN
cord-005496-cnwg4dnn	15	10	2-year	2-year	CD
cord-005496-cnwg4dnn	15	11	intervals	interval	NNS
cord-005496-cnwg4dnn	15	12	.	.	.
cord-005496-cnwg4dnn	16	1	Figure	figure	NN
cord-005496-cnwg4dnn	16	2	1	1	CD
cord-005496-cnwg4dnn	16	3	is	be	VBZ
cord-005496-cnwg4dnn	16	4	a	a	DT
cord-005496-cnwg4dnn	16	5	graphical	graphical	JJ
cord-005496-cnwg4dnn	16	6	interpretation	interpretation	NN
cord-005496-cnwg4dnn	16	7	of	of	IN
cord-005496-cnwg4dnn	16	8	Moore	Moore	NNP
cord-005496-cnwg4dnn	16	9	's	's	POS
cord-005496-cnwg4dnn	16	10	Law	Law	NNP
cord-005496-cnwg4dnn	16	11	,	,	,
cord-005496-cnwg4dnn	16	12	showing	show	VBG
cord-005496-cnwg4dnn	16	13	an	an	DT
cord-005496-cnwg4dnn	16	14	exponential	exponential	JJ
cord-005496-cnwg4dnn	16	15	increase	increase	NN
cord-005496-cnwg4dnn	16	16	in	in	IN
cord-005496-cnwg4dnn	16	17	computational	computational	JJ
cord-005496-cnwg4dnn	16	18	power	power	NN
cord-005496-cnwg4dnn	16	19	,	,	,
cord-005496-cnwg4dnn	16	20	in	in	IN
cord-005496-cnwg4dnn	16	21	terms	term	NNS
cord-005496-cnwg4dnn	16	22	of	of	IN
cord-005496-cnwg4dnn	16	23	calculations	calculation	NNS
cord-005496-cnwg4dnn	16	24	per	per	IN
cord-005496-cnwg4dnn	16	25	second	second	RB
cord-005496-cnwg4dnn	16	26	that	that	WDT
cord-005496-cnwg4dnn	16	27	can	can	MD
cord-005496-cnwg4dnn	16	28	be	be	VB
cord-005496-cnwg4dnn	16	29	purchased	purchase	VBN
cord-005496-cnwg4dnn	16	30	with	with	IN
cord-005496-cnwg4dnn	16	31	$	$	$
cord-005496-cnwg4dnn	16	32	1000	1000	CD
cord-005496-cnwg4dnn	16	33	(	(	-LRB-
cord-005496-cnwg4dnn	16	34	constant	constant	JJ
cord-005496-cnwg4dnn	16	35	US	US	NNP
cord-005496-cnwg4dnn	16	36	,	,	,
cord-005496-cnwg4dnn	16	37	2015	2015	CD
cord-005496-cnwg4dnn	16	38	)	)	-RRB-
cord-005496-cnwg4dnn	16	39	.	.	.
cord-005496-cnwg4dnn	17	1	According	accord	VBG
cord-005496-cnwg4dnn	17	2	to	to	IN
cord-005496-cnwg4dnn	17	3	that	that	DT
cord-005496-cnwg4dnn	17	4	graph	graph	NN
cord-005496-cnwg4dnn	17	5	,	,	,
cord-005496-cnwg4dnn	17	6	computing	computing	NN
cord-005496-cnwg4dnn	17	7	power	power	NN
cord-005496-cnwg4dnn	17	8	has	have	VBZ
cord-005496-cnwg4dnn	17	9	increased	increase	VBN
cord-005496-cnwg4dnn	17	10	by	by	IN
cord-005496-cnwg4dnn	17	11	a	a	DT
cord-005496-cnwg4dnn	17	12	factor	factor	NN
cord-005496-cnwg4dnn	17	13	of	of	IN
cord-005496-cnwg4dnn	17	14	10	10	CD
cord-005496-cnwg4dnn	17	15	18	18	CD
cord-005496-cnwg4dnn	17	16	from	from	IN
cord-005496-cnwg4dnn	17	17	the	the	DT
cord-005496-cnwg4dnn	17	18	mechanical	mechanical	JJ
cord-005496-cnwg4dnn	17	19	analytical	analytical	JJ
cord-005496-cnwg4dnn	17	20	engine	engine	NN
cord-005496-cnwg4dnn	17	21	of	of	IN
cord-005496-cnwg4dnn	17	22	the	the	DT
cord-005496-cnwg4dnn	17	23	early	early	JJ
cord-005496-cnwg4dnn	17	24	1900s	1900s	CD
cord-005496-cnwg4dnn	17	25	to	to	IN
cord-005496-cnwg4dnn	17	26	today	today	NN
cord-005496-cnwg4dnn	17	27	's	's	POS
cord-005496-cnwg4dnn	17	28	core	core	NN
cord-005496-cnwg4dnn	17	29	I7	I7	NNP
cord-005496-cnwg4dnn	17	30	Quad	Quad	NNP
cord-005496-cnwg4dnn	17	31	chip	chip	NN
cord-005496-cnwg4dnn	17	32	found	find	VBD
cord-005496-cnwg4dnn	17	33	in	in	IN
cord-005496-cnwg4dnn	17	34	personal	personal	JJ
cord-005496-cnwg4dnn	17	35	laptop	laptop	NN
cord-005496-cnwg4dnn	17	36	computers	computer	NNS
cord-005496-cnwg4dnn	17	37	.	.	.
cord-005496-cnwg4dnn	18	1	The	the	DT
cord-005496-cnwg4dnn	18	2	growth	growth	NN
cord-005496-cnwg4dnn	18	3	in	in	IN
cord-005496-cnwg4dnn	18	4	computing	compute	VBG
cord-005496-cnwg4dnn	18	5	power	power	NN
cord-005496-cnwg4dnn	18	6	was	be	VBD
cord-005496-cnwg4dnn	18	7	made	make	VBN
cord-005496-cnwg4dnn	18	8	possible	possible	JJ
cord-005496-cnwg4dnn	18	9	by	by	IN
cord-005496-cnwg4dnn	18	10	the	the	DT
cord-005496-cnwg4dnn	18	11	relentless	relentless	JJ
cord-005496-cnwg4dnn	18	12	downsizing	downsizing	NN
cord-005496-cnwg4dnn	18	13	of	of	IN
cord-005496-cnwg4dnn	18	14	integrated	integrated	JJ
cord-005496-cnwg4dnn	18	15	circuits	circuit	NNS
cord-005496-cnwg4dnn	18	16	,	,	,
cord-005496-cnwg4dnn	18	17	with	with	IN
cord-005496-cnwg4dnn	18	18	some	some	DT
cord-005496-cnwg4dnn	18	19	components	component	NNS
cord-005496-cnwg4dnn	18	20	being	be	VBG
cord-005496-cnwg4dnn	18	21	produced	produce	VBN
cord-005496-cnwg4dnn	18	22	in	in	IN
cord-005496-cnwg4dnn	18	23	the	the	DT
cord-005496-cnwg4dnn	18	24	sub-100	sub-100	NN
cord-005496-cnwg4dnn	18	25	nm	nm	NN
cord-005496-cnwg4dnn	18	26	range	range	NN
cord-005496-cnwg4dnn	18	27	.	.	.
cord-005496-cnwg4dnn	19	1	As	as	IN
cord-005496-cnwg4dnn	19	2	we	-PRON-	PRP
cord-005496-cnwg4dnn	19	3	approach	approach	VBP
cord-005496-cnwg4dnn	19	4	the	the	DT
cord-005496-cnwg4dnn	19	5	physical	physical	JJ
cord-005496-cnwg4dnn	19	6	limits	limit	NNS
cord-005496-cnwg4dnn	19	7	of	of	IN
cord-005496-cnwg4dnn	19	8	silicone	silicone	NN
cord-005496-cnwg4dnn	19	9	chip	chip	NN
cord-005496-cnwg4dnn	19	10	downsizing	downsizing	NN
cord-005496-cnwg4dnn	19	11	,	,	,
cord-005496-cnwg4dnn	19	12	other	other	JJ
cord-005496-cnwg4dnn	19	13	materials	material	NNS
cord-005496-cnwg4dnn	19	14	are	be	VBP
cord-005496-cnwg4dnn	19	15	being	be	VBG
cord-005496-cnwg4dnn	19	16	developed	develop	VBN
cord-005496-cnwg4dnn	19	17	.	.	.
cord-005496-cnwg4dnn	20	1	A	a	DT
cord-005496-cnwg4dnn	20	2	likely	likely	JJ
cord-005496-cnwg4dnn	20	3	candidate	candidate	NN
cord-005496-cnwg4dnn	20	4	is	be	VBZ
cord-005496-cnwg4dnn	20	5	the	the	DT
cord-005496-cnwg4dnn	20	6	carbon	carbon	NN
cord-005496-cnwg4dnn	20	7	nanotube	nanotube	NN
cord-005496-cnwg4dnn	20	8	,	,	,
cord-005496-cnwg4dnn	20	9	composed	compose	VBN
cord-005496-cnwg4dnn	20	10	of	of	IN
cord-005496-cnwg4dnn	20	11	a	a	DT
cord-005496-cnwg4dnn	20	12	single	single	JJ
cord-005496-cnwg4dnn	20	13	sheet	sheet	NN
cord-005496-cnwg4dnn	20	14	of	of	IN
cord-005496-cnwg4dnn	20	15	carbon	carbon	NN
cord-005496-cnwg4dnn	20	16	atoms	atom	NNS
cord-005496-cnwg4dnn	20	17	arranged	arrange	VBN
cord-005496-cnwg4dnn	20	18	in	in	IN
cord-005496-cnwg4dnn	20	19	a	a	DT
cord-005496-cnwg4dnn	20	20	hexagonal	hexagonal	JJ
cord-005496-cnwg4dnn	20	21	pattern	pattern	NN
cord-005496-cnwg4dnn	20	22	.	.	.
cord-005496-cnwg4dnn	21	1	When	when	WRB
cord-005496-cnwg4dnn	21	2	rolled	roll	VBN
cord-005496-cnwg4dnn	21	3	into	into	IN
cord-005496-cnwg4dnn	21	4	itself	-PRON-	PRP
cord-005496-cnwg4dnn	21	5	,	,	,
cord-005496-cnwg4dnn	21	6	the	the	DT
cord-005496-cnwg4dnn	21	7	sheet	sheet	NN
cord-005496-cnwg4dnn	21	8	becomes	become	VBZ
cord-005496-cnwg4dnn	21	9	a	a	DT
cord-005496-cnwg4dnn	21	10	tube	tube	NN
cord-005496-cnwg4dnn	21	11	approximately	approximately	RB
cord-005496-cnwg4dnn	21	12	2	2	CD
cord-005496-cnwg4dnn	21	13	nm	nm	NN
cord-005496-cnwg4dnn	21	14	in	in	IN
cord-005496-cnwg4dnn	21	15	diameter	diameter	NN
cord-005496-cnwg4dnn	21	16	,	,	,
cord-005496-cnwg4dnn	21	17	capable	capable	JJ
cord-005496-cnwg4dnn	21	18	of	of	IN
cord-005496-cnwg4dnn	21	19	forming	form	VBG
cord-005496-cnwg4dnn	21	20	different	different	JJ
cord-005496-cnwg4dnn	21	21	circuit	circuit	NN
cord-005496-cnwg4dnn	21	22	elements	element	NNS
cord-005496-cnwg4dnn	21	23	.	.	.
cord-005496-cnwg4dnn	22	1	This	this	DT
cord-005496-cnwg4dnn	22	2	nascent	nascent	JJ
cord-005496-cnwg4dnn	22	3	technology	technology	NN
cord-005496-cnwg4dnn	22	4	,	,	,
cord-005496-cnwg4dnn	22	5	along	along	IN
cord-005496-cnwg4dnn	22	6	with	with	IN
cord-005496-cnwg4dnn	22	7	the	the	DT
cord-005496-cnwg4dnn	22	8	development	development	NN
cord-005496-cnwg4dnn	22	9	of	of	IN
cord-005496-cnwg4dnn	22	10	quantum	quantum	NN
cord-005496-cnwg4dnn	22	11	computing	computing	NN
cord-005496-cnwg4dnn	22	12	,	,	,
cord-005496-cnwg4dnn	22	13	assures	assure	VBZ
cord-005496-cnwg4dnn	22	14	the	the	DT
cord-005496-cnwg4dnn	22	15	durability	durability	NN
cord-005496-cnwg4dnn	22	16	of	of	IN
cord-005496-cnwg4dnn	22	17	Moore	Moore	NNP
cord-005496-cnwg4dnn	22	18	's	's	POS
cord-005496-cnwg4dnn	22	19	Law	Law	NNP
cord-005496-cnwg4dnn	22	20	well	well	RB
cord-005496-cnwg4dnn	22	21	into	into	IN
cord-005496-cnwg4dnn	22	22	the	the	DT
cord-005496-cnwg4dnn	22	23	future	future	NN
cord-005496-cnwg4dnn	22	24	.	.	.
cord-005496-cnwg4dnn	23	1	As	as	IN
cord-005496-cnwg4dnn	23	2	processors	processor	NNS
cord-005496-cnwg4dnn	23	3	grew	grow	VBD
cord-005496-cnwg4dnn	23	4	in	in	IN
cord-005496-cnwg4dnn	23	5	power	power	NN
cord-005496-cnwg4dnn	23	6	,	,	,
cord-005496-cnwg4dnn	23	7	and	and	CC
cord-005496-cnwg4dnn	23	8	personal	personal	JJ
cord-005496-cnwg4dnn	23	9	computers	computer	NNS
cord-005496-cnwg4dnn	23	10	became	become	VBD
cord-005496-cnwg4dnn	23	11	ubiquitous	ubiquitous	JJ
cord-005496-cnwg4dnn	23	12	appliances	appliance	NNS
cord-005496-cnwg4dnn	23	13	,	,	,
cord-005496-cnwg4dnn	23	14	the	the	DT
cord-005496-cnwg4dnn	23	15	stage	stage	NN
cord-005496-cnwg4dnn	23	16	was	be	VBD
cord-005496-cnwg4dnn	23	17	set	set	VBN
cord-005496-cnwg4dnn	23	18	for	for	IN
cord-005496-cnwg4dnn	23	19	the	the	DT
cord-005496-cnwg4dnn	23	20	development	development	NN
cord-005496-cnwg4dnn	23	21	of	of	IN
cord-005496-cnwg4dnn	23	22	the	the	DT
cord-005496-cnwg4dnn	23	23	Internet	internet	NN
cord-005496-cnwg4dnn	23	24	,	,	,
cord-005496-cnwg4dnn	23	25	a	a	DT
cord-005496-cnwg4dnn	23	26	digital	digital	JJ
cord-005496-cnwg4dnn	23	27	network	network	NN
cord-005496-cnwg4dnn	23	28	that	that	WDT
cord-005496-cnwg4dnn	23	29	morphed	morph	VBD
cord-005496-cnwg4dnn	23	30	from	from	IN
cord-005496-cnwg4dnn	23	31	the	the	DT
cord-005496-cnwg4dnn	23	32	ARPANET	ARPANET	NNP
cord-005496-cnwg4dnn	23	33	,	,	,
cord-005496-cnwg4dnn	23	34	a	a	DT
cord-005496-cnwg4dnn	23	35	communication	communication	NN
cord-005496-cnwg4dnn	23	36	structure	structure	NN
cord-005496-cnwg4dnn	23	37	designed	design	VBN
cord-005496-cnwg4dnn	23	38	by	by	IN
cord-005496-cnwg4dnn	23	39	the	the	DT
cord-005496-cnwg4dnn	23	40	U.S.	U.S.	NNP
cord-005496-cnwg4dnn	23	41	Advanced	Advanced	NNP
cord-005496-cnwg4dnn	23	42	Research	Research	NNP
cord-005496-cnwg4dnn	23	43	Projects	Projects	NNPS
cord-005496-cnwg4dnn	23	44	Agency	Agency	NNP
cord-005496-cnwg4dnn	23	45	(	(	-LRB-
cord-005496-cnwg4dnn	23	46	ARPA	ARPA	NNP
cord-005496-cnwg4dnn	23	47	)	)	-RRB-
cord-005496-cnwg4dnn	23	48	to	to	TO
cord-005496-cnwg4dnn	23	49	transfer	transfer	VB
cord-005496-cnwg4dnn	23	50	information	information	NN
cord-005496-cnwg4dnn	23	51	among	among	IN
cord-005496-cnwg4dnn	23	52	computers	computer	NNS
cord-005496-cnwg4dnn	23	53	located	locate	VBN
cord-005496-cnwg4dnn	23	54	at	at	IN
cord-005496-cnwg4dnn	23	55	remote	remote	JJ
cord-005496-cnwg4dnn	23	56	distances	distance	NNS
cord-005496-cnwg4dnn	23	57	.	.	.
cord-005496-cnwg4dnn	24	1	The	the	DT
cord-005496-cnwg4dnn	24	2	internet	internet	NN
cord-005496-cnwg4dnn	24	3	promoted	promote	VBD
cord-005496-cnwg4dnn	24	4	the	the	DT
cord-005496-cnwg4dnn	24	5	free	free	JJ
cord-005496-cnwg4dnn	24	6	dissemination	dissemination	NN
cord-005496-cnwg4dnn	24	7	of	of	IN
cord-005496-cnwg4dnn	24	8	software	software	NN
cord-005496-cnwg4dnn	24	9	and	and	CC
cord-005496-cnwg4dnn	24	10	provided	provide	VBD
cord-005496-cnwg4dnn	24	11	the	the	DT
cord-005496-cnwg4dnn	24	12	impetus	impetus	NN
cord-005496-cnwg4dnn	24	13	for	for	IN
cord-005496-cnwg4dnn	24	14	computer	computer	NN
cord-005496-cnwg4dnn	24	15	scientists	scientist	NNS
cord-005496-cnwg4dnn	24	16	to	to	TO
cord-005496-cnwg4dnn	24	17	develop	develop	VB
cord-005496-cnwg4dnn	24	18	powerful	powerful	JJ
cord-005496-cnwg4dnn	24	19	algorithms	algorithm	NNS
cord-005496-cnwg4dnn	24	20	aimed	aim	VBN
cord-005496-cnwg4dnn	24	21	at	at	IN
cord-005496-cnwg4dnn	24	22	simulating	simulate	VBG
cord-005496-cnwg4dnn	24	23	human	human	JJ
cord-005496-cnwg4dnn	24	24	intelligence	intelligence	NN
cord-005496-cnwg4dnn	24	25	.	.	.
cord-005496-cnwg4dnn	25	1	According	accord	VBG
cord-005496-cnwg4dnn	25	2	to	to	IN
cord-005496-cnwg4dnn	25	3	the	the	DT
cord-005496-cnwg4dnn	25	4	Encyclopedia	Encyclopedia	NNP
cord-005496-cnwg4dnn	25	5	Britannica	Britannica	NNP
cord-005496-cnwg4dnn	25	6	,	,	,
cord-005496-cnwg4dnn	25	7	artificial	artificial	JJ
cord-005496-cnwg4dnn	25	8	intelligence	intelligence	NN
cord-005496-cnwg4dnn	25	9	(	(	-LRB-
cord-005496-cnwg4dnn	25	10	AI	AI	NNP
cord-005496-cnwg4dnn	25	11	)	)	-RRB-
cord-005496-cnwg4dnn	25	12	refers	refer	VBZ
cord-005496-cnwg4dnn	25	13	to	to	IN
cord-005496-cnwg4dnn	25	14	a	a	DT
cord-005496-cnwg4dnn	25	15	system	system	NN
cord-005496-cnwg4dnn	25	16	"	"	``
cord-005496-cnwg4dnn	25	17	endowed	endow	VBN
cord-005496-cnwg4dnn	25	18	with	with	IN
cord-005496-cnwg4dnn	25	19	the	the	DT
cord-005496-cnwg4dnn	25	20	intellectual	intellectual	JJ
cord-005496-cnwg4dnn	25	21	processes	process	NNS
cord-005496-cnwg4dnn	25	22	characteristic	characteristic	JJ
cord-005496-cnwg4dnn	25	23	of	of	IN
cord-005496-cnwg4dnn	25	24	humans	human	NNS
cord-005496-cnwg4dnn	25	25	,	,	,
cord-005496-cnwg4dnn	25	26	such	such	JJ
cord-005496-cnwg4dnn	25	27	as	as	IN
cord-005496-cnwg4dnn	25	28	the	the	DT
cord-005496-cnwg4dnn	25	29	ability	ability	NN
cord-005496-cnwg4dnn	25	30	to	to	TO
cord-005496-cnwg4dnn	25	31	reason	reason	VB
cord-005496-cnwg4dnn	25	32	,	,	,
cord-005496-cnwg4dnn	25	33	discover	discover	VB
cord-005496-cnwg4dnn	25	34	meaning	meaning	NN
cord-005496-cnwg4dnn	25	35	,	,	,
cord-005496-cnwg4dnn	25	36	generalize	generalize	VB
cord-005496-cnwg4dnn	25	37	,	,	,
cord-005496-cnwg4dnn	25	38	or	or	CC
cord-005496-cnwg4dnn	25	39	learn	learn	VB
cord-005496-cnwg4dnn	25	40	from	from	IN
cord-005496-cnwg4dnn	25	41	past	past	JJ
cord-005496-cnwg4dnn	25	42	experience	experience	NN
cord-005496-cnwg4dnn	25	43	.	.	.
cord-005496-cnwg4dnn	25	44	"	"	''
cord-005496-cnwg4dnn	26	1	AI	AI	NNP
cord-005496-cnwg4dnn	26	2	computer	computer	NN
cord-005496-cnwg4dnn	26	3	systems	system	NNS
cord-005496-cnwg4dnn	26	4	are	be	VBP
cord-005496-cnwg4dnn	26	5	able	able	JJ
cord-005496-cnwg4dnn	26	6	to	to	TO
cord-005496-cnwg4dnn	26	7	perform	perform	VB
cord-005496-cnwg4dnn	26	8	tasks	task	NNS
cord-005496-cnwg4dnn	26	9	normally	normally	RB
cord-005496-cnwg4dnn	26	10	requiring	require	VBG
cord-005496-cnwg4dnn	26	11	human	human	JJ
cord-005496-cnwg4dnn	26	12	intelligence	intelligence	NN
cord-005496-cnwg4dnn	26	13	and	and	CC
cord-005496-cnwg4dnn	26	14	that	that	WDT
cord-005496-cnwg4dnn	26	15	are	be	VBP
cord-005496-cnwg4dnn	26	16	considered	consider	VBN
cord-005496-cnwg4dnn	26	17	"	"	``
cord-005496-cnwg4dnn	26	18	smart	smart	JJ
cord-005496-cnwg4dnn	26	19	"	"	''
cord-005496-cnwg4dnn	26	20	by	by	IN
cord-005496-cnwg4dnn	26	21	humans	human	NNS
cord-005496-cnwg4dnn	26	22	.	.	.
cord-005496-cnwg4dnn	27	1	AI	AI	NNP
cord-005496-cnwg4dnn	27	2	systems	system	NNS
cord-005496-cnwg4dnn	27	3	act	act	VBP
cord-005496-cnwg4dnn	27	4	on	on	IN
cord-005496-cnwg4dnn	27	5	information	information	NN
cord-005496-cnwg4dnn	27	6	,	,	,
cord-005496-cnwg4dnn	27	7	such	such	JJ
cord-005496-cnwg4dnn	27	8	as	as	IN
cord-005496-cnwg4dnn	27	9	controlling	control	VBG
cord-005496-cnwg4dnn	27	10	a	a	DT
cord-005496-cnwg4dnn	27	11	self	self	NN
cord-005496-cnwg4dnn	27	12	-	-	HYPH
cord-005496-cnwg4dnn	27	13	driving	drive	VBG
cord-005496-cnwg4dnn	27	14	automobile	automobile	NN
cord-005496-cnwg4dnn	27	15	or	or	CC
cord-005496-cnwg4dnn	27	16	influencing	influence	VBG
cord-005496-cnwg4dnn	27	17	consumer	consumer	NN
cord-005496-cnwg4dnn	27	18	shopping	shopping	NN
cord-005496-cnwg4dnn	27	19	decisions	decision	NNS
cord-005496-cnwg4dnn	27	20	.	.	.
cord-005496-cnwg4dnn	28	1	In	in	IN
cord-005496-cnwg4dnn	28	2	the	the	DT
cord-005496-cnwg4dnn	28	3	area	area	NN
cord-005496-cnwg4dnn	28	4	of	of	IN
cord-005496-cnwg4dnn	28	5	medicine	medicine	NN
cord-005496-cnwg4dnn	28	6	,	,	,
cord-005496-cnwg4dnn	28	7	AI	AI	NNP
cord-005496-cnwg4dnn	28	8	has	have	VBZ
cord-005496-cnwg4dnn	28	9	been	be	VBN
cord-005496-cnwg4dnn	28	10	used	use	VBN
cord-005496-cnwg4dnn	28	11	in	in	IN
cord-005496-cnwg4dnn	28	12	drug	drug	NN
cord-005496-cnwg4dnn	28	13	discovery	discovery	NN
cord-005496-cnwg4dnn	28	14	,	,	,
cord-005496-cnwg4dnn	28	15	personalized	personalized	JJ
cord-005496-cnwg4dnn	28	16	diagnostics	diagnostic	NNS
cord-005496-cnwg4dnn	28	17	and	and	CC
cord-005496-cnwg4dnn	28	18	therapeutics	therapeutic	NNS
cord-005496-cnwg4dnn	28	19	,	,	,
cord-005496-cnwg4dnn	28	20	molecular	molecular	JJ
cord-005496-cnwg4dnn	28	21	biology	biology	NN
cord-005496-cnwg4dnn	28	22	,	,	,
cord-005496-cnwg4dnn	28	23	bioinformatics	bioinformatic	NNS
cord-005496-cnwg4dnn	28	24	,	,	,
cord-005496-cnwg4dnn	28	25	and	and	CC
cord-005496-cnwg4dnn	28	26	medical	medical	JJ
cord-005496-cnwg4dnn	28	27	imaging	imaging	NN
cord-005496-cnwg4dnn	28	28	.	.	.
cord-005496-cnwg4dnn	29	1	AI	AI	NNP
cord-005496-cnwg4dnn	29	2	applications	application	NNS
cord-005496-cnwg4dnn	29	3	are	be	VBP
cord-005496-cnwg4dnn	29	4	also	also	RB
cord-005496-cnwg4dnn	29	5	capable	capable	JJ
cord-005496-cnwg4dnn	29	6	of	of	IN
cord-005496-cnwg4dnn	29	7	discerning	discern	VBG
cord-005496-cnwg4dnn	29	8	patterns	pattern	NNS
cord-005496-cnwg4dnn	29	9	of	of	IN
cord-005496-cnwg4dnn	29	10	disease	disease	NN
cord-005496-cnwg4dnn	29	11	by	by	IN
cord-005496-cnwg4dnn	29	12	scrutinizing	scrutinize	VBG
cord-005496-cnwg4dnn	29	13	and	and	CC
cord-005496-cnwg4dnn	29	14	analyzing	analyze	VBG
cord-005496-cnwg4dnn	29	15	massive	massive	JJ
cord-005496-cnwg4dnn	29	16	amounts	amount	NNS
cord-005496-cnwg4dnn	29	17	of	of	IN
cord-005496-cnwg4dnn	29	18	digital	digital	JJ
cord-005496-cnwg4dnn	29	19	information	information	NN
cord-005496-cnwg4dnn	29	20	stored	store	VBN
cord-005496-cnwg4dnn	29	21	in	in	IN
cord-005496-cnwg4dnn	29	22	electronic	electronic	JJ
cord-005496-cnwg4dnn	29	23	medical	medical	JJ
cord-005496-cnwg4dnn	29	24	records	record	NNS
cord-005496-cnwg4dnn	29	25	.	.	.
cord-005496-cnwg4dnn	30	1	In	in	IN
cord-005496-cnwg4dnn	30	2	a	a	DT
cord-005496-cnwg4dnn	30	3	recent	recent	JJ
cord-005496-cnwg4dnn	30	4	proposal	proposal	NN
cord-005496-cnwg4dnn	30	5	aimed	aim	VBN
cord-005496-cnwg4dnn	30	6	at	at	IN
cord-005496-cnwg4dnn	30	7	regulating	regulate	VBG
cord-005496-cnwg4dnn	30	8	AI	AI	NNP
cord-005496-cnwg4dnn	30	9	software	software	NN
cord-005496-cnwg4dnn	30	10	in	in	IN
cord-005496-cnwg4dnn	30	11	medical	medical	JJ
cord-005496-cnwg4dnn	30	12	devices	device	NNS
cord-005496-cnwg4dnn	30	13	,	,	,
cord-005496-cnwg4dnn	30	14	the	the	DT
cord-005496-cnwg4dnn	30	15	U.S.	U.S.	NNP
cord-005496-cnwg4dnn	30	16	Food	Food	NNP
cord-005496-cnwg4dnn	30	17	and	and	CC
cord-005496-cnwg4dnn	30	18	Drug	Drug	NNP
cord-005496-cnwg4dnn	30	19	Administration	Administration	NNP
cord-005496-cnwg4dnn	30	20	states	state	VBZ
cord-005496-cnwg4dnn	30	21	that	that	IN
cord-005496-cnwg4dnn	30	22	"	"	``
cord-005496-cnwg4dnn	30	23	Artificial	artificial	JJ
cord-005496-cnwg4dnn	30	24	intelligence	intelligence	NN
cord-005496-cnwg4dnn	30	25	-	-	HYPH
cord-005496-cnwg4dnn	30	26	based	base	VBN
cord-005496-cnwg4dnn	30	27	technologies	technology	NNS
cord-005496-cnwg4dnn	30	28	have	have	VBP
cord-005496-cnwg4dnn	30	29	the	the	DT
cord-005496-cnwg4dnn	30	30	potential	potential	NN
cord-005496-cnwg4dnn	30	31	to	to	TO
cord-005496-cnwg4dnn	30	32	transform	transform	VB
cord-005496-cnwg4dnn	30	33	healthcare	healthcare	NN
cord-005496-cnwg4dnn	30	34	by	by	IN
cord-005496-cnwg4dnn	30	35	deriving	derive	VBG
cord-005496-cnwg4dnn	30	36	new	new	JJ
cord-005496-cnwg4dnn	30	37	and	and	CC
cord-005496-cnwg4dnn	30	38	important	important	JJ
cord-005496-cnwg4dnn	30	39	insights	insight	NNS
cord-005496-cnwg4dnn	30	40	from	from	IN
cord-005496-cnwg4dnn	30	41	the	the	DT
cord-005496-cnwg4dnn	30	42	vast	vast	JJ
cord-005496-cnwg4dnn	30	43	amount	amount	NN
cord-005496-cnwg4dnn	30	44	of	of	IN
cord-005496-cnwg4dnn	30	45	data	datum	NNS
cord-005496-cnwg4dnn	30	46	generated	generate	VBN
cord-005496-cnwg4dnn	30	47	during	during	IN
cord-005496-cnwg4dnn	30	48	the	the	DT
cord-005496-cnwg4dnn	30	49	delivery	delivery	NN
cord-005496-cnwg4dnn	30	50	of	of	IN
cord-005496-cnwg4dnn	30	51	healthcare	healthcare	NN
cord-005496-cnwg4dnn	30	52	every	every	DT
cord-005496-cnwg4dnn	30	53	day	day	NN
cord-005496-cnwg4dnn	30	54	"	"	''
cord-005496-cnwg4dnn	30	55	[	[	-LRB-
cord-005496-cnwg4dnn	30	56	1	1	CD
cord-005496-cnwg4dnn	30	57	]	]	-RRB-
cord-005496-cnwg4dnn	30	58	.	.	.
cord-005496-cnwg4dnn	31	1	Human	human	JJ
cord-005496-cnwg4dnn	31	2	intelligence	intelligence	NN
cord-005496-cnwg4dnn	31	3	is	be	VBZ
cord-005496-cnwg4dnn	31	4	defined	define	VBN
cord-005496-cnwg4dnn	31	5	by	by	IN
cord-005496-cnwg4dnn	31	6	the	the	DT
cord-005496-cnwg4dnn	31	7	mental	mental	JJ
cord-005496-cnwg4dnn	31	8	capability	capability	NN
cord-005496-cnwg4dnn	31	9	to	to	TO
cord-005496-cnwg4dnn	31	10	think	think	VB
cord-005496-cnwg4dnn	31	11	abstractly	abstractly	RB
cord-005496-cnwg4dnn	31	12	,	,	,
cord-005496-cnwg4dnn	31	13	use	use	VBP
cord-005496-cnwg4dnn	31	14	reason	reason	NN
cord-005496-cnwg4dnn	31	15	to	to	TO
cord-005496-cnwg4dnn	31	16	solve	solve	VB
cord-005496-cnwg4dnn	31	17	problems	problem	NNS
cord-005496-cnwg4dnn	31	18	,	,	,
cord-005496-cnwg4dnn	31	19	make	make	VB
cord-005496-cnwg4dnn	31	20	plans	plan	NNS
cord-005496-cnwg4dnn	31	21	,	,	,
cord-005496-cnwg4dnn	31	22	comprehend	comprehend	VB
cord-005496-cnwg4dnn	31	23	complex	complex	JJ
cord-005496-cnwg4dnn	31	24	ideas	idea	NNS
cord-005496-cnwg4dnn	31	25	,	,	,
cord-005496-cnwg4dnn	31	26	and	and	CC
cord-005496-cnwg4dnn	31	27	learn	learn	VB
cord-005496-cnwg4dnn	31	28	from	from	IN
cord-005496-cnwg4dnn	31	29	experience	experience	NN
cord-005496-cnwg4dnn	31	30	[	[	-LRB-
cord-005496-cnwg4dnn	31	31	2	2	CD
cord-005496-cnwg4dnn	31	32	]	]	-RRB-
cord-005496-cnwg4dnn	31	33	.	.	.
cord-005496-cnwg4dnn	32	1	Much	much	JJ
cord-005496-cnwg4dnn	32	2	of	of	IN
cord-005496-cnwg4dnn	32	3	human	human	JJ
cord-005496-cnwg4dnn	32	4	intelligence	intelligence	NN
cord-005496-cnwg4dnn	32	5	involves	involve	VBZ
cord-005496-cnwg4dnn	32	6	pattern	pattern	NN
cord-005496-cnwg4dnn	32	7	recognition	recognition	NN
cord-005496-cnwg4dnn	32	8	,	,	,
cord-005496-cnwg4dnn	32	9	a	a	DT
cord-005496-cnwg4dnn	32	10	process	process	NN
cord-005496-cnwg4dnn	32	11	that	that	WDT
cord-005496-cnwg4dnn	32	12	matches	match	VBZ
cord-005496-cnwg4dnn	32	13	a	a	DT
cord-005496-cnwg4dnn	32	14	visual	visual	JJ
cord-005496-cnwg4dnn	32	15	or	or	CC
cord-005496-cnwg4dnn	32	16	other	other	JJ
cord-005496-cnwg4dnn	32	17	type	type	NN
cord-005496-cnwg4dnn	32	18	of	of	IN
cord-005496-cnwg4dnn	32	19	stimuli	stimulus	NNS
cord-005496-cnwg4dnn	32	20	,	,	,
cord-005496-cnwg4dnn	32	21	to	to	IN
cord-005496-cnwg4dnn	32	22	similar	similar	JJ
cord-005496-cnwg4dnn	32	23	information	information	NN
cord-005496-cnwg4dnn	32	24	stored	store	VBN
cord-005496-cnwg4dnn	32	25	in	in	IN
cord-005496-cnwg4dnn	32	26	our	-PRON-	PRP$
cord-005496-cnwg4dnn	32	27	brains	brain	NNS
cord-005496-cnwg4dnn	32	28	.	.	.
cord-005496-cnwg4dnn	33	1	Although	although	IN
cord-005496-cnwg4dnn	33	2	endowed	endow	VBN
cord-005496-cnwg4dnn	33	3	with	with	IN
cord-005496-cnwg4dnn	33	4	abstract	abstract	JJ
cord-005496-cnwg4dnn	33	5	thinking	thinking	NN
cord-005496-cnwg4dnn	33	6	and	and	CC
cord-005496-cnwg4dnn	33	7	capable	capable	JJ
cord-005496-cnwg4dnn	33	8	of	of	IN
cord-005496-cnwg4dnn	33	9	sublime	sublime	JJ
cord-005496-cnwg4dnn	33	10	leaps	leap	NNS
cord-005496-cnwg4dnn	33	11	in	in	IN
cord-005496-cnwg4dnn	33	12	imagination	imagination	NN
cord-005496-cnwg4dnn	33	13	,	,	,
cord-005496-cnwg4dnn	33	14	humans	human	NNS
cord-005496-cnwg4dnn	33	15	have	have	VBP
cord-005496-cnwg4dnn	33	16	a	a	DT
cord-005496-cnwg4dnn	33	17	limited	limited	JJ
cord-005496-cnwg4dnn	33	18	capacity	capacity	NN
cord-005496-cnwg4dnn	33	19	for	for	IN
cord-005496-cnwg4dnn	33	20	memory	memory	NN
cord-005496-cnwg4dnn	33	21	.	.	.
cord-005496-cnwg4dnn	34	1	It	-PRON-	PRP
cord-005496-cnwg4dnn	34	2	is	be	VBZ
cord-005496-cnwg4dnn	34	3	estimated	estimate	VBN
cord-005496-cnwg4dnn	34	4	that	that	IN
cord-005496-cnwg4dnn	34	5	the	the	DT
cord-005496-cnwg4dnn	34	6	brain	brain	NN
cord-005496-cnwg4dnn	34	7	can	can	MD
cord-005496-cnwg4dnn	34	8	not	not	RB
cord-005496-cnwg4dnn	34	9	store	store	VB
cord-005496-cnwg4dnn	34	10	more	more	JJR
cord-005496-cnwg4dnn	34	11	than	than	IN
cord-005496-cnwg4dnn	34	12	four	four	CD
cord-005496-cnwg4dnn	34	13	"	"	``
cord-005496-cnwg4dnn	34	14	chunks	chunk	NNS
cord-005496-cnwg4dnn	34	15	"	"	''
cord-005496-cnwg4dnn	34	16	of	of	IN
cord-005496-cnwg4dnn	34	17	short	short	JJ
cord-005496-cnwg4dnn	34	18	-	-	HYPH
cord-005496-cnwg4dnn	34	19	term	term	NN
cord-005496-cnwg4dnn	34	20	memory	memory	NN
cord-005496-cnwg4dnn	34	21	at	at	IN
cord-005496-cnwg4dnn	34	22	any	any	DT
cord-005496-cnwg4dnn	34	23	one	one	CD
cord-005496-cnwg4dnn	34	24	time	time	NN
cord-005496-cnwg4dnn	34	25	[	[	-LRB-
cord-005496-cnwg4dnn	34	26	3	3	CD
cord-005496-cnwg4dnn	34	27	]	]	-RRB-
cord-005496-cnwg4dnn	34	28	.	.	.
cord-005496-cnwg4dnn	35	1	Moreover	moreover	RB
cord-005496-cnwg4dnn	35	2	,	,	,
cord-005496-cnwg4dnn	35	3	humans	human	NNS
cord-005496-cnwg4dnn	35	4	find	find	VBP
cord-005496-cnwg4dnn	35	5	it	-PRON-	PRP
cord-005496-cnwg4dnn	35	6	difficult	difficult	JJ
cord-005496-cnwg4dnn	35	7	to	to	TO
cord-005496-cnwg4dnn	35	8	think	think	VB
cord-005496-cnwg4dnn	35	9	in	in	IN
cord-005496-cnwg4dnn	35	10	terms	term	NNS
cord-005496-cnwg4dnn	35	11	of	of	IN
cord-005496-cnwg4dnn	35	12	n	n	JJ
cord-005496-cnwg4dnn	35	13	-	-	JJ
cord-005496-cnwg4dnn	35	14	dimensional	dimensional	JJ
cord-005496-cnwg4dnn	35	15	spaces	space	NNS
cord-005496-cnwg4dnn	35	16	or	or	CC
cord-005496-cnwg4dnn	35	17	visualize	visualize	VB
cord-005496-cnwg4dnn	35	18	patterns	pattern	NNS
cord-005496-cnwg4dnn	35	19	embedded	embed	VBN
cord-005496-cnwg4dnn	35	20	into	into	IN
cord-005496-cnwg4dnn	35	21	large	large	JJ
cord-005496-cnwg4dnn	35	22	quantities	quantity	NNS
cord-005496-cnwg4dnn	35	23	of	of	IN
cord-005496-cnwg4dnn	35	24	data	datum	NNS
cord-005496-cnwg4dnn	35	25	.	.	.
cord-005496-cnwg4dnn	36	1	Conversely	conversely	RB
cord-005496-cnwg4dnn	36	2	,	,	,
cord-005496-cnwg4dnn	36	3	computers	computer	NNS
cord-005496-cnwg4dnn	36	4	have	have	VBP
cord-005496-cnwg4dnn	36	5	vast	vast	JJ
cord-005496-cnwg4dnn	36	6	memory	memory	NN
cord-005496-cnwg4dnn	36	7	storage	storage	NN
cord-005496-cnwg4dnn	36	8	,	,	,
cord-005496-cnwg4dnn	36	9	excel	excel	VB
cord-005496-cnwg4dnn	36	10	at	at	IN
cord-005496-cnwg4dnn	36	11	handling	handle	VBG
cord-005496-cnwg4dnn	36	12	multidimensional	multidimensional	JJ
cord-005496-cnwg4dnn	36	13	problems	problem	NNS
cord-005496-cnwg4dnn	36	14	and	and	CC
cord-005496-cnwg4dnn	36	15	can	can	MD
cord-005496-cnwg4dnn	36	16	discern	discern	VB
cord-005496-cnwg4dnn	36	17	even	even	RB
cord-005496-cnwg4dnn	36	18	small	small	JJ
cord-005496-cnwg4dnn	36	19	or	or	CC
cord-005496-cnwg4dnn	36	20	"	"	``
cord-005496-cnwg4dnn	36	21	fuzzy	fuzzy	JJ
cord-005496-cnwg4dnn	36	22	"	"	''
cord-005496-cnwg4dnn	36	23	associations	association	NNS
cord-005496-cnwg4dnn	36	24	within	within	IN
cord-005496-cnwg4dnn	36	25	massive	massive	JJ
cord-005496-cnwg4dnn	36	26	data	data	NN
cord-005496-cnwg4dnn	36	27	collections	collection	NNS
cord-005496-cnwg4dnn	36	28	.	.	.
cord-005496-cnwg4dnn	37	1	The	the	DT
cord-005496-cnwg4dnn	37	2	use	use	NN
cord-005496-cnwg4dnn	37	3	of	of	IN
cord-005496-cnwg4dnn	37	4	computers	computer	NNS
cord-005496-cnwg4dnn	37	5	to	to	TO
cord-005496-cnwg4dnn	37	6	guide	guide	VB
cord-005496-cnwg4dnn	37	7	the	the	DT
cord-005496-cnwg4dnn	37	8	treatment	treatment	NN
cord-005496-cnwg4dnn	37	9	of	of	IN
cord-005496-cnwg4dnn	37	10	critically	critically	RB
cord-005496-cnwg4dnn	37	11	ill	ill	JJ
cord-005496-cnwg4dnn	37	12	patients	patient	NNS
cord-005496-cnwg4dnn	37	13	is	be	VBZ
cord-005496-cnwg4dnn	37	14	not	not	RB
cord-005496-cnwg4dnn	37	15	a	a	DT
cord-005496-cnwg4dnn	37	16	new	new	JJ
cord-005496-cnwg4dnn	37	17	concept	concept	NN
cord-005496-cnwg4dnn	37	18	.	.	.
cord-005496-cnwg4dnn	38	1	With	with	IN
cord-005496-cnwg4dnn	38	2	uneven	uneven	JJ
cord-005496-cnwg4dnn	38	3	results	result	NNS
cord-005496-cnwg4dnn	38	4	,	,	,
cord-005496-cnwg4dnn	38	5	computerized	computerized	JJ
cord-005496-cnwg4dnn	38	6	systems	system	NNS
cord-005496-cnwg4dnn	38	7	have	have	VBP
cord-005496-cnwg4dnn	38	8	been	be	VBN
cord-005496-cnwg4dnn	38	9	proposed	propose	VBN
cord-005496-cnwg4dnn	38	10	in	in	IN
cord-005496-cnwg4dnn	38	11	the	the	DT
cord-005496-cnwg4dnn	38	12	past	past	NN
cord-005496-cnwg4dnn	38	13	to	to	TO
cord-005496-cnwg4dnn	38	14	monitor	monitor	VB
cord-005496-cnwg4dnn	38	15	ICU	ICU	NNP
cord-005496-cnwg4dnn	38	16	patients	patient	NNS
cord-005496-cnwg4dnn	38	17	[	[	-LRB-
cord-005496-cnwg4dnn	38	18	4	4	CD
cord-005496-cnwg4dnn	38	19	]	]	-RRB-
cord-005496-cnwg4dnn	38	20	,	,	,
cord-005496-cnwg4dnn	38	21	manage	manage	VB
cord-005496-cnwg4dnn	38	22	patients	patient	NNS
cord-005496-cnwg4dnn	38	23	on	on	IN
cord-005496-cnwg4dnn	38	24	mechanical	mechanical	JJ
cord-005496-cnwg4dnn	38	25	ventilators	ventilator	NNS
cord-005496-cnwg4dnn	38	26	[	[	-LRB-
cord-005496-cnwg4dnn	38	27	5	5	CD
cord-005496-cnwg4dnn	38	28	,	,	,
cord-005496-cnwg4dnn	38	29	6	6	CD
cord-005496-cnwg4dnn	38	30	]	]	-RRB-
cord-005496-cnwg4dnn	38	31	,	,	,
cord-005496-cnwg4dnn	38	32	guide	guide	NN
cord-005496-cnwg4dnn	38	33	care	care	NN
cord-005496-cnwg4dnn	38	34	in	in	IN
cord-005496-cnwg4dnn	38	35	patients	patient	NNS
cord-005496-cnwg4dnn	38	36	with	with	IN
cord-005496-cnwg4dnn	38	37	acute	acute	JJ
cord-005496-cnwg4dnn	38	38	respiratory	respiratory	JJ
cord-005496-cnwg4dnn	38	39	distress	distress	NN
cord-005496-cnwg4dnn	38	40	syndrome	syndrome	NN
cord-005496-cnwg4dnn	38	41	(	(	-LRB-
cord-005496-cnwg4dnn	38	42	ARDS	ARDS	NNP
cord-005496-cnwg4dnn	38	43	)	)	-RRB-
cord-005496-cnwg4dnn	38	44	[	[	-LRB-
cord-005496-cnwg4dnn	38	45	7	7	CD
cord-005496-cnwg4dnn	38	46	]	]	-RRB-
cord-005496-cnwg4dnn	38	47	,	,	,
cord-005496-cnwg4dnn	38	48	and	and	CC
cord-005496-cnwg4dnn	38	49	manage	manage	VB
cord-005496-cnwg4dnn	38	50	arterial	arterial	JJ
cord-005496-cnwg4dnn	38	51	oxygenation	oxygenation	NN
cord-005496-cnwg4dnn	38	52	[	[	-LRB-
cord-005496-cnwg4dnn	38	53	8	8	CD
cord-005496-cnwg4dnn	38	54	]	]	-RRB-
cord-005496-cnwg4dnn	38	55	.	.	.
cord-005496-cnwg4dnn	39	1	These	these	DT
cord-005496-cnwg4dnn	39	2	early	early	JJ
cord-005496-cnwg4dnn	39	3	computer	computer	NN
cord-005496-cnwg4dnn	39	4	systems	system	NNS
cord-005496-cnwg4dnn	39	5	were	be	VBD
cord-005496-cnwg4dnn	39	6	programmed	program	VBN
cord-005496-cnwg4dnn	39	7	with	with	IN
cord-005496-cnwg4dnn	39	8	highly	highly	RB
cord-005496-cnwg4dnn	39	9	specific	specific	JJ
cord-005496-cnwg4dnn	39	10	and	and	CC
cord-005496-cnwg4dnn	39	11	sequential	sequential	JJ
cord-005496-cnwg4dnn	39	12	IF/	if/	IN
cord-005496-cnwg4dnn	40	1	THEN	then	RB
cord-005496-cnwg4dnn	40	2	/	/	,
cord-005496-cnwg4dnn	40	3	ELSE	else	RB
cord-005496-cnwg4dnn	40	4	logical	logical	JJ
cord-005496-cnwg4dnn	40	5	expressions	expression	NNS
cord-005496-cnwg4dnn	40	6	that	that	WDT
cord-005496-cnwg4dnn	40	7	assessed	assess	VBD
cord-005496-cnwg4dnn	40	8	the	the	DT
cord-005496-cnwg4dnn	40	9	validity	validity	NN
cord-005496-cnwg4dnn	40	10	of	of	IN
cord-005496-cnwg4dnn	40	11	a	a	DT
cord-005496-cnwg4dnn	40	12	condition	condition	NN
cord-005496-cnwg4dnn	40	13	based	base	VBN
cord-005496-cnwg4dnn	40	14	on	on	IN
cord-005496-cnwg4dnn	40	15	accepted	accepted	JJ
cord-005496-cnwg4dnn	40	16	physiological	physiological	JJ
cord-005496-cnwg4dnn	40	17	principles	principle	NNS
cord-005496-cnwg4dnn	40	18	and/or	and/or	CC
cord-005496-cnwg4dnn	40	19	clinical	clinical	JJ
cord-005496-cnwg4dnn	40	20	experience	experience	NN
cord-005496-cnwg4dnn	41	1	(	(	-LRB-
cord-005496-cnwg4dnn	41	2	Fig	Fig	NNP
cord-005496-cnwg4dnn	41	3	.	.	NNP
cord-005496-cnwg4dnn	41	4	2	2	CD
cord-005496-cnwg4dnn	41	5	)	)	-RRB-
cord-005496-cnwg4dnn	41	6	.	.	.
cord-005496-cnwg4dnn	42	1	According	accord	VBG
cord-005496-cnwg4dnn	42	2	to	to	IN
cord-005496-cnwg4dnn	42	3	these	these	DT
cord-005496-cnwg4dnn	42	4	expressions	expression	NNS
cord-005496-cnwg4dnn	42	5	,	,	,
cord-005496-cnwg4dnn	42	6	IF	if	IN
cord-005496-cnwg4dnn	42	7	a	a	DT
cord-005496-cnwg4dnn	42	8	given	give	VBN
cord-005496-cnwg4dnn	42	9	condition	condition	NN
cord-005496-cnwg4dnn	42	10	was	be	VBD
cord-005496-cnwg4dnn	42	11	judged	judge	VBN
cord-005496-cnwg4dnn	42	12	to	to	TO
cord-005496-cnwg4dnn	42	13	be	be	VB
cord-005496-cnwg4dnn	42	14	"	"	``
cord-005496-cnwg4dnn	42	15	true	true	JJ
cord-005496-cnwg4dnn	42	16	,	,	,
cord-005496-cnwg4dnn	42	17	"	"	''
cord-005496-cnwg4dnn	42	18	THEN	then	RB
cord-005496-cnwg4dnn	42	19	the	the	DT
cord-005496-cnwg4dnn	42	20	program	program	NN
cord-005496-cnwg4dnn	42	21	executed	execute	VBD
cord-005496-cnwg4dnn	42	22	instruction	instruction	NN
cord-005496-cnwg4dnn	42	23	1	1	CD
cord-005496-cnwg4dnn	42	24	,	,	,
cord-005496-cnwg4dnn	42	25	ELSE	else	RB
cord-005496-cnwg4dnn	42	26	,	,	,
cord-005496-cnwg4dnn	42	27	it	-PRON-	PRP
cord-005496-cnwg4dnn	42	28	executed	execute	VBD
cord-005496-cnwg4dnn	42	29	instruction	instruction	NN
cord-005496-cnwg4dnn	42	30	2	2	CD
cord-005496-cnwg4dnn	42	31	.	.	.
cord-005496-cnwg4dnn	43	1	AI	AI	NNP
cord-005496-cnwg4dnn	43	2	is	be	VBZ
cord-005496-cnwg4dnn	43	3	based	base	VBN
cord-005496-cnwg4dnn	43	4	on	on	IN
cord-005496-cnwg4dnn	43	5	a	a	DT
cord-005496-cnwg4dnn	43	6	fundamentally	fundamentally	RB
cord-005496-cnwg4dnn	43	7	different	different	JJ
cord-005496-cnwg4dnn	43	8	approach	approach	NN
cord-005496-cnwg4dnn	43	9	to	to	IN
cord-005496-cnwg4dnn	43	10	traditional	traditional	JJ
cord-005496-cnwg4dnn	43	11	computer	computer	NN
cord-005496-cnwg4dnn	43	12	programming	programming	NN
cord-005496-cnwg4dnn	43	13	.	.	.
cord-005496-cnwg4dnn	44	1	Instead	instead	RB
cord-005496-cnwg4dnn	44	2	of	of	IN
cord-005496-cnwg4dnn	44	3	instructing	instruct	VBG
cord-005496-cnwg4dnn	44	4	the	the	DT
cord-005496-cnwg4dnn	44	5	computer	computer	NN
cord-005496-cnwg4dnn	44	6	to	to	TO
cord-005496-cnwg4dnn	44	7	evaluate	evaluate	VB
cord-005496-cnwg4dnn	44	8	a	a	DT
cord-005496-cnwg4dnn	44	9	given	give	VBN
cord-005496-cnwg4dnn	44	10	condition	condition	NN
cord-005496-cnwg4dnn	44	11	,	,	,
cord-005496-cnwg4dnn	44	12	or	or	CC
cord-005496-cnwg4dnn	44	13	to	to	TO
cord-005496-cnwg4dnn	44	14	perform	perform	VB
cord-005496-cnwg4dnn	44	15	a	a	DT
cord-005496-cnwg4dnn	44	16	specific	specific	JJ
cord-005496-cnwg4dnn	44	17	task	task	NN
cord-005496-cnwg4dnn	44	18	according	accord	VBG
cord-005496-cnwg4dnn	44	19	to	to	IN
cord-005496-cnwg4dnn	44	20	detailed	detailed	JJ
cord-005496-cnwg4dnn	44	21	programmed	programmed	JJ
cord-005496-cnwg4dnn	44	22	instructions	instruction	NNS
cord-005496-cnwg4dnn	44	23	,	,	,
cord-005496-cnwg4dnn	44	24	AI	AI	NNP
cord-005496-cnwg4dnn	44	25	algorithms	algorithm	NNS
cord-005496-cnwg4dnn	44	26	,	,	,
cord-005496-cnwg4dnn	44	27	in	in	IN
cord-005496-cnwg4dnn	44	28	a	a	DT
cord-005496-cnwg4dnn	44	29	manner	manner	NN
cord-005496-cnwg4dnn	44	30	similar	similar	JJ
cord-005496-cnwg4dnn	44	31	to	to	IN
cord-005496-cnwg4dnn	44	32	the	the	DT
cord-005496-cnwg4dnn	44	33	way	way	NN
cord-005496-cnwg4dnn	44	34	children	child	NNS
cord-005496-cnwg4dnn	44	35	absorb	absorb	VB
cord-005496-cnwg4dnn	44	36	knowledge	knowledge	NN
cord-005496-cnwg4dnn	44	37	,	,	,
cord-005496-cnwg4dnn	44	38	learn	learn	VB
cord-005496-cnwg4dnn	44	39	from	from	IN
cord-005496-cnwg4dnn	44	40	exposure	exposure	NN
cord-005496-cnwg4dnn	44	41	to	to	IN
cord-005496-cnwg4dnn	44	42	numerous	numerous	JJ
cord-005496-cnwg4dnn	44	43	examples	example	NNS
cord-005496-cnwg4dnn	44	44	.	.	.
cord-005496-cnwg4dnn	45	1	AI	AI	NNP
cord-005496-cnwg4dnn	45	2	algorithms	algorithm	NNS
cord-005496-cnwg4dnn	45	3	establish	establish	VBP
cord-005496-cnwg4dnn	45	4	their	-PRON-	PRP$
cord-005496-cnwg4dnn	45	5	own	own	JJ
cord-005496-cnwg4dnn	45	6	rules	rule	NNS
cord-005496-cnwg4dnn	45	7	of	of	IN
cord-005496-cnwg4dnn	45	8	behavior	behavior	NN
cord-005496-cnwg4dnn	45	9	and	and	CC
cord-005496-cnwg4dnn	45	10	can	can	MD
cord-005496-cnwg4dnn	45	11	even	even	RB
cord-005496-cnwg4dnn	45	12	improve	improve	VB
cord-005496-cnwg4dnn	45	13	on	on	IN
cord-005496-cnwg4dnn	45	14	their	-PRON-	PRP$
cord-005496-cnwg4dnn	45	15	"	"	``
cord-005496-cnwg4dnn	45	16	intelligence	intelligence	NN
cord-005496-cnwg4dnn	45	17	"	"	''
cord-005496-cnwg4dnn	45	18	by	by	IN
cord-005496-cnwg4dnn	45	19	incorporating	incorporate	VBG
cord-005496-cnwg4dnn	45	20	additional	additional	JJ
cord-005496-cnwg4dnn	45	21	experiences	experience	NNS
cord-005496-cnwg4dnn	45	22	resulting	result	VBG
cord-005496-cnwg4dnn	45	23	from	from	IN
cord-005496-cnwg4dnn	45	24	the	the	DT
cord-005496-cnwg4dnn	45	25	application	application	NN
cord-005496-cnwg4dnn	45	26	of	of	IN
cord-005496-cnwg4dnn	45	27	these	these	DT
cord-005496-cnwg4dnn	45	28	rules	rule	NNS
cord-005496-cnwg4dnn	45	29	.	.	.
cord-005496-cnwg4dnn	46	1	Machine	machine	NN
cord-005496-cnwg4dnn	46	2	learning	learning	NN
cord-005496-cnwg4dnn	46	3	is	be	VBZ
cord-005496-cnwg4dnn	46	4	a	a	DT
cord-005496-cnwg4dnn	46	5	subset	subset	NN
cord-005496-cnwg4dnn	46	6	of	of	IN
cord-005496-cnwg4dnn	46	7	AI	ai	NN
cord-005496-cnwg4dnn	46	8	in	in	IN
cord-005496-cnwg4dnn	46	9	which	which	WDT
cord-005496-cnwg4dnn	46	10	machines	machine	NNS
cord-005496-cnwg4dnn	46	11	learn	learn	VBP
cord-005496-cnwg4dnn	46	12	or	or	CC
cord-005496-cnwg4dnn	46	13	extract	extract	VB
cord-005496-cnwg4dnn	46	14	knowledge	knowledge	NN
cord-005496-cnwg4dnn	46	15	from	from	IN
cord-005496-cnwg4dnn	46	16	the	the	DT
cord-005496-cnwg4dnn	46	17	available	available	JJ
cord-005496-cnwg4dnn	46	18	data	datum	NNS
cord-005496-cnwg4dnn	46	19	,	,	,
cord-005496-cnwg4dnn	46	20	but	but	CC
cord-005496-cnwg4dnn	46	21	do	do	VBP
cord-005496-cnwg4dnn	46	22	not	not	RB
cord-005496-cnwg4dnn	46	23	act	act	VB
cord-005496-cnwg4dnn	46	24	on	on	IN
cord-005496-cnwg4dnn	46	25	the	the	DT
cord-005496-cnwg4dnn	46	26	information	information	NN
cord-005496-cnwg4dnn	46	27	.	.	.
cord-005496-cnwg4dnn	47	1	Machine	machine	NN
cord-005496-cnwg4dnn	47	2	learning	learning	NN
cord-005496-cnwg4dnn	47	3	combines	combine	VBZ
cord-005496-cnwg4dnn	47	4	statistical	statistical	JJ
cord-005496-cnwg4dnn	47	5	analysis	analysis	NN
cord-005496-cnwg4dnn	47	6	techniques	technique	NNS
cord-005496-cnwg4dnn	47	7	with	with	IN
cord-005496-cnwg4dnn	47	8	computer	computer	NN
cord-005496-cnwg4dnn	47	9	science	science	NN
cord-005496-cnwg4dnn	47	10	to	to	TO
cord-005496-cnwg4dnn	47	11	produce	produce	VB
cord-005496-cnwg4dnn	47	12	algorithms	algorithm	NNS
cord-005496-cnwg4dnn	47	13	capable	capable	JJ
cord-005496-cnwg4dnn	47	14	of	of	IN
cord-005496-cnwg4dnn	47	15	"	"	``
cord-005496-cnwg4dnn	47	16	statistical	statistical	JJ
cord-005496-cnwg4dnn	47	17	learning	learning	NN
cord-005496-cnwg4dnn	47	18	.	.	.
cord-005496-cnwg4dnn	47	19	"	"	''
cord-005496-cnwg4dnn	48	1	Broadly	broadly	RB
cord-005496-cnwg4dnn	48	2	speaking	speak	VBG
cord-005496-cnwg4dnn	48	3	,	,	,
cord-005496-cnwg4dnn	48	4	there	there	EX
cord-005496-cnwg4dnn	48	5	are	be	VBP
cord-005496-cnwg4dnn	48	6	two	two	CD
cord-005496-cnwg4dnn	48	7	types	type	NNS
cord-005496-cnwg4dnn	48	8	of	of	IN
cord-005496-cnwg4dnn	48	9	machine	machine	NN
cord-005496-cnwg4dnn	48	10	learning	learning	NN
cord-005496-cnwg4dnn	48	11	structures	structure	NNS
cord-005496-cnwg4dnn	48	12	:	:	:
cord-005496-cnwg4dnn	48	13	supervised	supervise	VBN
cord-005496-cnwg4dnn	48	14	and	and	CC
cord-005496-cnwg4dnn	48	15	unsupervised	unsupervise	VBN
cord-005496-cnwg4dnn	48	16	(	(	-LRB-
cord-005496-cnwg4dnn	48	17	Fig	fig	NN
cord-005496-cnwg4dnn	48	18	.	.	.
cord-005496-cnwg4dnn	48	19	3	3	CD
cord-005496-cnwg4dnn	48	20	)	)	-RRB-
cord-005496-cnwg4dnn	48	21	.	.	.
cord-005496-cnwg4dnn	49	1	The	the	DT
cord-005496-cnwg4dnn	49	2	objective	objective	NN
cord-005496-cnwg4dnn	49	3	of	of	IN
cord-005496-cnwg4dnn	49	4	supervised	supervise	VBN
cord-005496-cnwg4dnn	49	5	machine	machine	NN
cord-005496-cnwg4dnn	49	6	learning	learning	NN
cord-005496-cnwg4dnn	49	7	is	be	VBZ
cord-005496-cnwg4dnn	49	8	to	to	TO
cord-005496-cnwg4dnn	49	9	develop	develop	VB
cord-005496-cnwg4dnn	49	10	an	an	DT
cord-005496-cnwg4dnn	49	11	algorithm	algorithm	NN
cord-005496-cnwg4dnn	49	12	capable	capable	JJ
cord-005496-cnwg4dnn	49	13	of	of	IN
cord-005496-cnwg4dnn	49	14	predicting	predict	VBG
cord-005496-cnwg4dnn	49	15	a	a	DT
cord-005496-cnwg4dnn	49	16	unique	unique	JJ
cord-005496-cnwg4dnn	49	17	output	output	NN
cord-005496-cnwg4dnn	49	18	when	when	WRB
cord-005496-cnwg4dnn	49	19	provided	provide	VBN
cord-005496-cnwg4dnn	49	20	with	with	IN
cord-005496-cnwg4dnn	49	21	a	a	DT
cord-005496-cnwg4dnn	49	22	specific	specific	JJ
cord-005496-cnwg4dnn	49	23	input	input	NN
cord-005496-cnwg4dnn	49	24	.	.	.
cord-005496-cnwg4dnn	50	1	In	in	IN
cord-005496-cnwg4dnn	50	2	other	other	JJ
cord-005496-cnwg4dnn	50	3	words	word	NNS
cord-005496-cnwg4dnn	50	4	,	,	,
cord-005496-cnwg4dnn	50	5	the	the	DT
cord-005496-cnwg4dnn	50	6	machine	machine	NN
cord-005496-cnwg4dnn	50	7	is	be	VBZ
cord-005496-cnwg4dnn	50	8	shown	show	VBN
cord-005496-cnwg4dnn	50	9	examples	example	NNS
cord-005496-cnwg4dnn	50	10	of	of	IN
cord-005496-cnwg4dnn	50	11	input	input	NN
cord-005496-cnwg4dnn	50	12	(	(	-LRB-
cord-005496-cnwg4dnn	50	13	x	x	SYM
cord-005496-cnwg4dnn	50	14	)	)	-RRB-
cord-005496-cnwg4dnn	50	15	and	and	CC
cord-005496-cnwg4dnn	50	16	its	-PRON-	PRP$
cord-005496-cnwg4dnn	50	17	corresponding	correspond	VBG
cord-005496-cnwg4dnn	50	18	output	output	NN
cord-005496-cnwg4dnn	50	19	(	(	-LRB-
cord-005496-cnwg4dnn	50	20	y	y	NNP
cord-005496-cnwg4dnn	50	21	)	)	-RRB-
cord-005496-cnwg4dnn	50	22	,	,	,
cord-005496-cnwg4dnn	50	23	such	such	JJ
cord-005496-cnwg4dnn	50	24	that	that	IN
cord-005496-cnwg4dnn	50	25	y	y	NN
cord-005496-cnwg4dnn	50	26	=	=	NNP
cord-005496-cnwg4dnn	50	27	f(x	f(x	NNP
cord-005496-cnwg4dnn	50	28	)	)	-RRB-
cord-005496-cnwg4dnn	50	29	.	.	.
cord-005496-cnwg4dnn	51	1	Machine	machine	NN
cord-005496-cnwg4dnn	51	2	learning	learning	NN
cord-005496-cnwg4dnn	51	3	is	be	VBZ
cord-005496-cnwg4dnn	51	4	predicated	predicate	VBN
cord-005496-cnwg4dnn	51	5	on	on	IN
cord-005496-cnwg4dnn	51	6	large	large	JJ
cord-005496-cnwg4dnn	51	7	sets	set	NNS
cord-005496-cnwg4dnn	51	8	of	of	IN
cord-005496-cnwg4dnn	51	9	data	datum	NNS
cord-005496-cnwg4dnn	51	10	containing	contain	VBG
cord-005496-cnwg4dnn	51	11	myriad	myriad	JJ
cord-005496-cnwg4dnn	51	12	examples	example	NNS
cord-005496-cnwg4dnn	51	13	that	that	WDT
cord-005496-cnwg4dnn	51	14	relate	relate	VBP
cord-005496-cnwg4dnn	51	15	one	one	CD
cord-005496-cnwg4dnn	51	16	or	or	CC
cord-005496-cnwg4dnn	51	17	several	several	JJ
cord-005496-cnwg4dnn	51	18	input	input	NN
cord-005496-cnwg4dnn	51	19	variables	variable	NNS
cord-005496-cnwg4dnn	51	20	to	to	IN
cord-005496-cnwg4dnn	51	21	a	a	DT
cord-005496-cnwg4dnn	51	22	single	single	JJ
cord-005496-cnwg4dnn	51	23	output	output	NN
cord-005496-cnwg4dnn	51	24	.	.	.
cord-005496-cnwg4dnn	52	1	The	the	DT
cord-005496-cnwg4dnn	52	2	expectations	expectation	NNS
cord-005496-cnwg4dnn	52	3	are	be	VBP
cord-005496-cnwg4dnn	52	4	that	that	IN
cord-005496-cnwg4dnn	52	5	the	the	DT
cord-005496-cnwg4dnn	52	6	resulting	result	VBG
cord-005496-cnwg4dnn	52	7	algorithm	algorithm	NN
cord-005496-cnwg4dnn	52	8	will	will	MD
cord-005496-cnwg4dnn	52	9	deliver	deliver	VB
cord-005496-cnwg4dnn	52	10	accurate	accurate	JJ
cord-005496-cnwg4dnn	52	11	predictions	prediction	NNS
cord-005496-cnwg4dnn	52	12	when	when	WRB
cord-005496-cnwg4dnn	52	13	exposed	expose	VBN
cord-005496-cnwg4dnn	52	14	to	to	IN
cord-005496-cnwg4dnn	52	15	new	new	JJ
cord-005496-cnwg4dnn	52	16	and	and	CC
cord-005496-cnwg4dnn	52	17	never	never	RB
cord-005496-cnwg4dnn	52	18	before	before	IN
cord-005496-cnwg4dnn	52	19	seen	see	VBN
cord-005496-cnwg4dnn	52	20	data	datum	NNS
cord-005496-cnwg4dnn	52	21	.	.	.
cord-005496-cnwg4dnn	53	1	Supervised	supervise	VBN
cord-005496-cnwg4dnn	53	2	learning	learning	NN
cord-005496-cnwg4dnn	53	3	requires	require	VBZ
cord-005496-cnwg4dnn	53	4	a	a	DT
cord-005496-cnwg4dnn	53	5	great	great	JJ
cord-005496-cnwg4dnn	53	6	deal	deal	NN
cord-005496-cnwg4dnn	53	7	of	of	IN
cord-005496-cnwg4dnn	53	8	human	human	JJ
cord-005496-cnwg4dnn	53	9	effort	effort	NN
cord-005496-cnwg4dnn	53	10	when	when	WRB
cord-005496-cnwg4dnn	53	11	building	build	VBG
cord-005496-cnwg4dnn	53	12	large	large	JJ
cord-005496-cnwg4dnn	53	13	datasets	dataset	NNS
cord-005496-cnwg4dnn	53	14	to	to	TO
cord-005496-cnwg4dnn	53	15	train	train	VB
cord-005496-cnwg4dnn	53	16	and	and	CC
cord-005496-cnwg4dnn	53	17	test	test	VB
cord-005496-cnwg4dnn	53	18	the	the	DT
cord-005496-cnwg4dnn	53	19	algorithm	algorithm	NN
cord-005496-cnwg4dnn	53	20	.	.	.
cord-005496-cnwg4dnn	54	1	There	there	EX
cord-005496-cnwg4dnn	54	2	are	be	VBP
cord-005496-cnwg4dnn	54	3	two	two	CD
cord-005496-cnwg4dnn	54	4	major	major	JJ
cord-005496-cnwg4dnn	54	5	types	type	NNS
cord-005496-cnwg4dnn	54	6	of	of	IN
cord-005496-cnwg4dnn	54	7	supervised	supervised	JJ
cord-005496-cnwg4dnn	54	8	learning	learning	NN
cord-005496-cnwg4dnn	54	9	:	:	:
cord-005496-cnwg4dnn	54	10	regression	regression	NN
cord-005496-cnwg4dnn	54	11	and	and	CC
cord-005496-cnwg4dnn	54	12	classification	classification	NN
cord-005496-cnwg4dnn	54	13	.	.	.
cord-005496-cnwg4dnn	55	1	Most	Most	JJS
cord-005496-cnwg4dnn	55	2	clinicians	clinician	NNS
cord-005496-cnwg4dnn	55	3	are	be	VBP
cord-005496-cnwg4dnn	55	4	familiar	familiar	JJ
cord-005496-cnwg4dnn	55	5	with	with	IN
cord-005496-cnwg4dnn	55	6	regression	regression	NN
cord-005496-cnwg4dnn	55	7	analysis	analysis	NN
cord-005496-cnwg4dnn	55	8	,	,	,
cord-005496-cnwg4dnn	55	9	a	a	DT
cord-005496-cnwg4dnn	55	10	statistical	statistical	JJ
cord-005496-cnwg4dnn	55	11	technique	technique	NN
cord-005496-cnwg4dnn	55	12	producing	produce	VBG
cord-005496-cnwg4dnn	55	13	a	a	DT
cord-005496-cnwg4dnn	55	14	mathematical	mathematical	JJ
cord-005496-cnwg4dnn	55	15	expression	expression	NN
cord-005496-cnwg4dnn	55	16	relating	relate	VBG
cord-005496-cnwg4dnn	55	17	one	one	CD
cord-005496-cnwg4dnn	55	18	input	input	NN
cord-005496-cnwg4dnn	55	19	variable	variable	NN
cord-005496-cnwg4dnn	55	20	to	to	IN
cord-005496-cnwg4dnn	55	21	another	another	DT
cord-005496-cnwg4dnn	55	22	(	(	-LRB-
cord-005496-cnwg4dnn	55	23	linear	linear	JJ
cord-005496-cnwg4dnn	55	24	regression	regression	NN
cord-005496-cnwg4dnn	55	25	)	)	-RRB-
cord-005496-cnwg4dnn	55	26	or	or	CC
cord-005496-cnwg4dnn	55	27	many	many	JJ
cord-005496-cnwg4dnn	55	28	input	input	NN
cord-005496-cnwg4dnn	55	29	variables	variable	NNS
cord-005496-cnwg4dnn	55	30	to	to	IN
cord-005496-cnwg4dnn	55	31	one	one	CD
cord-005496-cnwg4dnn	55	32	dependent	dependent	JJ
cord-005496-cnwg4dnn	55	33	variable	variable	NN
cord-005496-cnwg4dnn	55	34	(	(	-LRB-
cord-005496-cnwg4dnn	55	35	multiple	multiple	JJ
cord-005496-cnwg4dnn	55	36	regression	regression	NN
cord-005496-cnwg4dnn	55	37	)	)	-RRB-
cord-005496-cnwg4dnn	55	38	.	.	.
cord-005496-cnwg4dnn	56	1	In	in	IN
cord-005496-cnwg4dnn	56	2	regression	regression	NN
cord-005496-cnwg4dnn	56	3	analysis	analysis	NN
cord-005496-cnwg4dnn	56	4	,	,	,
cord-005496-cnwg4dnn	56	5	the	the	DT
cord-005496-cnwg4dnn	56	6	output	output	NN
cord-005496-cnwg4dnn	56	7	is	be	VBZ
cord-005496-cnwg4dnn	56	8	a	a	DT
cord-005496-cnwg4dnn	56	9	continuous	continuous	JJ
cord-005496-cnwg4dnn	56	10	function	function	NN
cord-005496-cnwg4dnn	56	11	of	of	IN
cord-005496-cnwg4dnn	56	12	the	the	DT
cord-005496-cnwg4dnn	56	13	input	input	NN
cord-005496-cnwg4dnn	56	14	.	.	.
cord-005496-cnwg4dnn	57	1	In	in	IN
cord-005496-cnwg4dnn	57	2	other	other	JJ
cord-005496-cnwg4dnn	57	3	words	word	NNS
cord-005496-cnwg4dnn	57	4	,	,	,
cord-005496-cnwg4dnn	57	5	the	the	DT
cord-005496-cnwg4dnn	57	6	predicted	predict	VBN
cord-005496-cnwg4dnn	57	7	variable	variable	NN
cord-005496-cnwg4dnn	57	8	will	will	MD
cord-005496-cnwg4dnn	57	9	change	change	VB
cord-005496-cnwg4dnn	57	10	in	in	IN
cord-005496-cnwg4dnn	57	11	concert	concert	NN
cord-005496-cnwg4dnn	57	12	with	with	IN
cord-005496-cnwg4dnn	57	13	the	the	DT
cord-005496-cnwg4dnn	57	14	input	input	NN
cord-005496-cnwg4dnn	57	15	variables	variable	NNS
cord-005496-cnwg4dnn	57	16	.	.	.
cord-005496-cnwg4dnn	58	1	Regression	regression	NN
cord-005496-cnwg4dnn	58	2	is	be	VBZ
cord-005496-cnwg4dnn	58	3	used	use	VBN
cord-005496-cnwg4dnn	58	4	commonly	commonly	RB
cord-005496-cnwg4dnn	58	5	to	to	TO
cord-005496-cnwg4dnn	58	6	test	test	VB
cord-005496-cnwg4dnn	58	7	hypotheses	hypothesis	NNS
cord-005496-cnwg4dnn	58	8	involving	involve	VBG
cord-005496-cnwg4dnn	58	9	causal	causal	JJ
cord-005496-cnwg4dnn	58	10	relationships	relationship	NNS
cord-005496-cnwg4dnn	58	11	,	,	,
cord-005496-cnwg4dnn	58	12	with	with	IN
cord-005496-cnwg4dnn	58	13	the	the	DT
cord-005496-cnwg4dnn	58	14	choice	choice	NN
cord-005496-cnwg4dnn	58	15	of	of	IN
cord-005496-cnwg4dnn	58	16	model	model	NN
cord-005496-cnwg4dnn	58	17	being	be	VBG
cord-005496-cnwg4dnn	58	18	based	base	VBN
cord-005496-cnwg4dnn	58	19	on	on	IN
cord-005496-cnwg4dnn	58	20	its	-PRON-	PRP$
cord-005496-cnwg4dnn	58	21	significance	significance	NN
cord-005496-cnwg4dnn	58	22	and	and	CC
cord-005496-cnwg4dnn	58	23	goodness	goodness	NN
cord-005496-cnwg4dnn	58	24	of	of	IN
cord-005496-cnwg4dnn	58	25	fit	fit	NN
cord-005496-cnwg4dnn	58	26	.	.	.
cord-005496-cnwg4dnn	59	1	Classification	classification	NN
cord-005496-cnwg4dnn	59	2	supervised	supervise	VBN
cord-005496-cnwg4dnn	59	3	learning	learning	NN
cord-005496-cnwg4dnn	59	4	is	be	VBZ
cord-005496-cnwg4dnn	59	5	a	a	DT
cord-005496-cnwg4dnn	59	6	form	form	NN
cord-005496-cnwg4dnn	59	7	of	of	IN
cord-005496-cnwg4dnn	59	8	pattern	pattern	NN
cord-005496-cnwg4dnn	59	9	recognition	recognition	NN
cord-005496-cnwg4dnn	59	10	designed	design	VBN
cord-005496-cnwg4dnn	59	11	to	to	TO
cord-005496-cnwg4dnn	59	12	predict	predict	VB
cord-005496-cnwg4dnn	59	13	a	a	DT
cord-005496-cnwg4dnn	59	14	single	single	JJ
cord-005496-cnwg4dnn	59	15	,	,	,
cord-005496-cnwg4dnn	59	16	nonnumerical	nonnumerical	JJ
cord-005496-cnwg4dnn	59	17	output	output	NN
cord-005496-cnwg4dnn	59	18	,	,	,
cord-005496-cnwg4dnn	59	19	or	or	CC
cord-005496-cnwg4dnn	59	20	"	"	``
cord-005496-cnwg4dnn	59	21	class	class	NN
cord-005496-cnwg4dnn	59	22	,	,	,
cord-005496-cnwg4dnn	59	23	"	"	''
cord-005496-cnwg4dnn	59	24	from	from	IN
cord-005496-cnwg4dnn	59	25	a	a	DT
cord-005496-cnwg4dnn	59	26	predefined	predefined	JJ
cord-005496-cnwg4dnn	59	27	list	list	NN
cord-005496-cnwg4dnn	59	28	of	of	IN
cord-005496-cnwg4dnn	59	29	possibilities	possibility	NNS
cord-005496-cnwg4dnn	59	30	.	.	.
cord-005496-cnwg4dnn	60	1	Classifier	Classifier	NNP
cord-005496-cnwg4dnn	60	2	algorithms	algorithm	NNS
cord-005496-cnwg4dnn	60	3	are	be	VBP
cord-005496-cnwg4dnn	60	4	trained	train	VBN
cord-005496-cnwg4dnn	60	5	with	with	IN
cord-005496-cnwg4dnn	60	6	many	many	JJ
cord-005496-cnwg4dnn	60	7	lines	line	NNS
cord-005496-cnwg4dnn	60	8	of	of	IN
cord-005496-cnwg4dnn	60	9	data	datum	NNS
cord-005496-cnwg4dnn	60	10	,	,	,
cord-005496-cnwg4dnn	60	11	with	with	IN
cord-005496-cnwg4dnn	60	12	each	each	DT
cord-005496-cnwg4dnn	60	13	line	line	NN
cord-005496-cnwg4dnn	60	14	having	have	VBG
cord-005496-cnwg4dnn	60	15	several	several	JJ
cord-005496-cnwg4dnn	60	16	input	input	NN
cord-005496-cnwg4dnn	60	17	variables	variable	NNS
cord-005496-cnwg4dnn	60	18	and	and	CC
cord-005496-cnwg4dnn	60	19	one	one	CD
cord-005496-cnwg4dnn	60	20	desired	desire	VBN
cord-005496-cnwg4dnn	60	21	output	output	NN
cord-005496-cnwg4dnn	60	22	.	.	.
cord-005496-cnwg4dnn	61	1	For	for	IN
cord-005496-cnwg4dnn	61	2	example	example	NN
cord-005496-cnwg4dnn	61	3	,	,	,
cord-005496-cnwg4dnn	61	4	a	a	DT
cord-005496-cnwg4dnn	61	5	model	model	NN
cord-005496-cnwg4dnn	61	6	designed	design	VBN
cord-005496-cnwg4dnn	61	7	to	to	TO
cord-005496-cnwg4dnn	61	8	identify	identify	VB
cord-005496-cnwg4dnn	61	9	a	a	DT
cord-005496-cnwg4dnn	61	10	breed	breed	NN
cord-005496-cnwg4dnn	61	11	of	of	IN
cord-005496-cnwg4dnn	61	12	dog	dog	NN
cord-005496-cnwg4dnn	61	13	may	may	MD
cord-005496-cnwg4dnn	61	14	be	be	VB
cord-005496-cnwg4dnn	61	15	trained	train	VBN
cord-005496-cnwg4dnn	61	16	with	with	IN
cord-005496-cnwg4dnn	61	17	data	datum	NNS
cord-005496-cnwg4dnn	61	18	listing	list	VBG
cord-005496-cnwg4dnn	61	19	their	-PRON-	PRP$
cord-005496-cnwg4dnn	61	20	traits	trait	NNS
cord-005496-cnwg4dnn	61	21	or	or	CC
cord-005496-cnwg4dnn	61	22	characteristics	characteristic	NNS
cord-005496-cnwg4dnn	61	23	,	,	,
cord-005496-cnwg4dnn	61	24	e.g.	e.g.	RB
cord-005496-cnwg4dnn	61	25	,	,	,
cord-005496-cnwg4dnn	61	26	height	height	NN
cord-005496-cnwg4dnn	61	27	,	,	,
cord-005496-cnwg4dnn	61	28	type	type	NN
cord-005496-cnwg4dnn	61	29	of	of	IN
cord-005496-cnwg4dnn	61	30	hair	hair	NN
cord-005496-cnwg4dnn	61	31	,	,	,
cord-005496-cnwg4dnn	61	32	and	and	CC
cord-005496-cnwg4dnn	61	33	length	length	NN
cord-005496-cnwg4dnn	61	34	of	of	IN
cord-005496-cnwg4dnn	61	35	tail	tail	NN
cord-005496-cnwg4dnn	61	36	.	.	.
cord-005496-cnwg4dnn	62	1	Each	each	DT
cord-005496-cnwg4dnn	62	2	line	line	NN
cord-005496-cnwg4dnn	62	3	will	will	MD
cord-005496-cnwg4dnn	62	4	be	be	VB
cord-005496-cnwg4dnn	62	5	associated	associate	VBN
cord-005496-cnwg4dnn	62	6	with	with	IN
cord-005496-cnwg4dnn	62	7	a	a	DT
cord-005496-cnwg4dnn	62	8	specific	specific	JJ
cord-005496-cnwg4dnn	62	9	breed	breed	NN
cord-005496-cnwg4dnn	62	10	.	.	.
cord-005496-cnwg4dnn	63	1	Once	once	RB
cord-005496-cnwg4dnn	63	2	trained	train	VBN
cord-005496-cnwg4dnn	63	3	,	,	,
cord-005496-cnwg4dnn	63	4	the	the	DT
cord-005496-cnwg4dnn	63	5	model	model	NN
cord-005496-cnwg4dnn	63	6	can	can	MD
cord-005496-cnwg4dnn	63	7	be	be	VB
cord-005496-cnwg4dnn	63	8	asked	ask	VBN
cord-005496-cnwg4dnn	63	9	to	to	TO
cord-005496-cnwg4dnn	63	10	predict	predict	VB
cord-005496-cnwg4dnn	63	11	the	the	DT
cord-005496-cnwg4dnn	63	12	dog	dog	NN
cord-005496-cnwg4dnn	63	13	breed	breed	NN
cord-005496-cnwg4dnn	63	14	when	when	WRB
cord-005496-cnwg4dnn	63	15	given	give	VBN
cord-005496-cnwg4dnn	63	16	new	new	JJ
cord-005496-cnwg4dnn	63	17	set	set	NN
cord-005496-cnwg4dnn	63	18	of	of	IN
cord-005496-cnwg4dnn	63	19	input	input	NN
cord-005496-cnwg4dnn	63	20	variables	variable	NNS
cord-005496-cnwg4dnn	63	21	.	.	.
cord-005496-cnwg4dnn	64	1	Two	two	CD
cord-005496-cnwg4dnn	64	2	important	important	JJ
cord-005496-cnwg4dnn	64	3	steps	step	NNS
cord-005496-cnwg4dnn	64	4	are	be	VBP
cord-005496-cnwg4dnn	64	5	needed	need	VBN
cord-005496-cnwg4dnn	64	6	to	to	TO
cord-005496-cnwg4dnn	64	7	build	build	VB
cord-005496-cnwg4dnn	64	8	a	a	DT
cord-005496-cnwg4dnn	64	9	classifier	classifier	NN
cord-005496-cnwg4dnn	64	10	model	model	NN
cord-005496-cnwg4dnn	64	11	.	.	.
cord-005496-cnwg4dnn	65	1	The	the	DT
cord-005496-cnwg4dnn	65	2	first	first	JJ
cord-005496-cnwg4dnn	65	3	is	be	VBZ
cord-005496-cnwg4dnn	65	4	to	to	TO
cord-005496-cnwg4dnn	65	5	establish	establish	VB
cord-005496-cnwg4dnn	65	6	the	the	DT
cord-005496-cnwg4dnn	65	7	number	number	NN
cord-005496-cnwg4dnn	65	8	of	of	IN
cord-005496-cnwg4dnn	65	9	classes	class	NNS
cord-005496-cnwg4dnn	65	10	the	the	DT
cord-005496-cnwg4dnn	65	11	model	model	NN
cord-005496-cnwg4dnn	65	12	will	will	MD
cord-005496-cnwg4dnn	65	13	be	be	VB
cord-005496-cnwg4dnn	65	14	required	require	VBN
cord-005496-cnwg4dnn	65	15	to	to	TO
cord-005496-cnwg4dnn	65	16	identify	identify	VB
cord-005496-cnwg4dnn	65	17	.	.	.
cord-005496-cnwg4dnn	66	1	The	the	DT
cord-005496-cnwg4dnn	66	2	second	second	JJ
cord-005496-cnwg4dnn	66	3	is	be	VBZ
cord-005496-cnwg4dnn	66	4	to	to	TO
cord-005496-cnwg4dnn	66	5	identify	identify	VB
cord-005496-cnwg4dnn	66	6	the	the	DT
cord-005496-cnwg4dnn	66	7	number	number	NN
cord-005496-cnwg4dnn	66	8	of	of	IN
cord-005496-cnwg4dnn	66	9	variables	variable	NNS
cord-005496-cnwg4dnn	66	10	required	require	VBN
cord-005496-cnwg4dnn	66	11	to	to	TO
cord-005496-cnwg4dnn	66	12	describe	describe	VB
cord-005496-cnwg4dnn	66	13	the	the	DT
cord-005496-cnwg4dnn	66	14	classes	class	NNS
cord-005496-cnwg4dnn	66	15	.	.	.
cord-005496-cnwg4dnn	67	1	Fewer	few	JJR
cord-005496-cnwg4dnn	67	2	variables	variable	NNS
cord-005496-cnwg4dnn	67	3	and	and	CC
cord-005496-cnwg4dnn	67	4	classes	class	NNS
cord-005496-cnwg4dnn	67	5	require	require	VBP
cord-005496-cnwg4dnn	67	6	less	less	JJR
cord-005496-cnwg4dnn	67	7	training	training	NN
cord-005496-cnwg4dnn	67	8	data	datum	NNS
cord-005496-cnwg4dnn	67	9	and	and	CC
cord-005496-cnwg4dnn	67	10	result	result	VB
cord-005496-cnwg4dnn	67	11	in	in	IN
cord-005496-cnwg4dnn	67	12	simpler	simple	JJR
cord-005496-cnwg4dnn	67	13	and	and	CC
cord-005496-cnwg4dnn	67	14	more	more	RBR
cord-005496-cnwg4dnn	67	15	accurate	accurate	JJ
cord-005496-cnwg4dnn	67	16	models	model	NNS
cord-005496-cnwg4dnn	67	17	.	.	.
cord-005496-cnwg4dnn	68	1	The	the	DT
cord-005496-cnwg4dnn	68	2	simplest	simple	JJS
cord-005496-cnwg4dnn	68	3	classification	classification	NN
cord-005496-cnwg4dnn	68	4	model	model	NN
cord-005496-cnwg4dnn	68	5	is	be	VBZ
cord-005496-cnwg4dnn	68	6	the	the	DT
cord-005496-cnwg4dnn	68	7	binary	binary	JJ
cord-005496-cnwg4dnn	68	8	kind	kind	NN
cord-005496-cnwg4dnn	68	9	,	,	,
cord-005496-cnwg4dnn	68	10	in	in	IN
cord-005496-cnwg4dnn	68	11	which	which	WDT
cord-005496-cnwg4dnn	68	12	the	the	DT
cord-005496-cnwg4dnn	68	13	model	model	NN
cord-005496-cnwg4dnn	68	14	is	be	VBZ
cord-005496-cnwg4dnn	68	15	asked	ask	VBN
cord-005496-cnwg4dnn	68	16	to	to	TO
cord-005496-cnwg4dnn	68	17	choose	choose	VB
cord-005496-cnwg4dnn	68	18	between	between	IN
cord-005496-cnwg4dnn	68	19	a	a	DT
cord-005496-cnwg4dnn	68	20	"	"	``
cord-005496-cnwg4dnn	68	21	Yes	yes	UH
cord-005496-cnwg4dnn	68	22	"	"	''
cord-005496-cnwg4dnn	68	23	and	and	CC
cord-005496-cnwg4dnn	68	24	a	a	DT
cord-005496-cnwg4dnn	68	25	"	"	``
cord-005496-cnwg4dnn	68	26	No	no	UH
cord-005496-cnwg4dnn	68	27	"	"	''
cord-005496-cnwg4dnn	68	28	answer	answer	NN
cord-005496-cnwg4dnn	68	29	.	.	.
cord-005496-cnwg4dnn	69	1	Classes	class	NNS
cord-005496-cnwg4dnn	69	2	may	may	MD
cord-005496-cnwg4dnn	69	3	consist	consist	VB
cord-005496-cnwg4dnn	69	4	of	of	IN
cord-005496-cnwg4dnn	69	5	physical	physical	JJ
cord-005496-cnwg4dnn	69	6	objects	object	NNS
cord-005496-cnwg4dnn	69	7	(	(	-LRB-
cord-005496-cnwg4dnn	69	8	chair	chair	NN
cord-005496-cnwg4dnn	69	9	,	,	,
cord-005496-cnwg4dnn	69	10	table	table	NN
cord-005496-cnwg4dnn	69	11	,	,	,
cord-005496-cnwg4dnn	69	12	etc	etc	FW
cord-005496-cnwg4dnn	69	13	.	.	.
cord-005496-cnwg4dnn	69	14	)	)	-RRB-
cord-005496-cnwg4dnn	69	15	,	,	,
cord-005496-cnwg4dnn	69	16	medical	medical	JJ
cord-005496-cnwg4dnn	69	17	conditions	condition	NNS
cord-005496-cnwg4dnn	69	18	(	(	-LRB-
cord-005496-cnwg4dnn	69	19	e.g.	e.g.	RB
cord-005496-cnwg4dnn	69	20	,	,	,
cord-005496-cnwg4dnn	69	21	sepsis	sepsis	NN
cord-005496-cnwg4dnn	69	22	,	,	,
cord-005496-cnwg4dnn	69	23	ARDS	ARDS	NNP
cord-005496-cnwg4dnn	69	24	,	,	,
cord-005496-cnwg4dnn	69	25	chronic	chronic	JJ
cord-005496-cnwg4dnn	69	26	obstructive	obstructive	JJ
cord-005496-cnwg4dnn	69	27	pulmonary	pulmonary	JJ
cord-005496-cnwg4dnn	69	28	disease	disease	NN
cord-005496-cnwg4dnn	69	29	[	[	-LRB-
cord-005496-cnwg4dnn	69	30	COPD	COPD	NNP
cord-005496-cnwg4dnn	69	31	]	]	-RRB-
cord-005496-cnwg4dnn	69	32	,	,	,
cord-005496-cnwg4dnn	69	33	etc	etc	FW
cord-005496-cnwg4dnn	69	34	.	.	.
cord-005496-cnwg4dnn	69	35	)	)	-RRB-
cord-005496-cnwg4dnn	69	36	,	,	,
cord-005496-cnwg4dnn	69	37	clinical	clinical	JJ
cord-005496-cnwg4dnn	69	38	or	or	CC
cord-005496-cnwg4dnn	69	39	physiological	physiological	JJ
cord-005496-cnwg4dnn	69	40	observations	observation	NNS
cord-005496-cnwg4dnn	69	41	(	(	-LRB-
cord-005496-cnwg4dnn	69	42	e.g.	e.g.	RB
cord-005496-cnwg4dnn	69	43	,	,	,
cord-005496-cnwg4dnn	69	44	different	different	JJ
cord-005496-cnwg4dnn	69	45	types	type	NNS
cord-005496-cnwg4dnn	69	46	of	of	IN
cord-005496-cnwg4dnn	69	47	arrhythmia	arrhythmia	NN
cord-005496-cnwg4dnn	69	48	or	or	CC
cord-005496-cnwg4dnn	69	49	ventilator	ventilator	NN
cord-005496-cnwg4dnn	69	50	asynchronies	asynchrony	NNS
cord-005496-cnwg4dnn	69	51	)	)	-RRB-
cord-005496-cnwg4dnn	69	52	.	.	.
cord-005496-cnwg4dnn	70	1	Each	each	DT
cord-005496-cnwg4dnn	70	2	class	class	NN
cord-005496-cnwg4dnn	70	3	is	be	VBZ
cord-005496-cnwg4dnn	70	4	associated	associate	VBN
cord-005496-cnwg4dnn	70	5	with	with	IN
cord-005496-cnwg4dnn	70	6	a	a	DT
cord-005496-cnwg4dnn	70	7	number	number	NN
cord-005496-cnwg4dnn	70	8	of	of	IN
cord-005496-cnwg4dnn	70	9	input	input	NN
cord-005496-cnwg4dnn	70	10	variables	variable	NNS
cord-005496-cnwg4dnn	70	11	common	common	JJ
cord-005496-cnwg4dnn	70	12	to	to	IN
cord-005496-cnwg4dnn	70	13	all	all	DT
cord-005496-cnwg4dnn	70	14	classes	class	NNS
cord-005496-cnwg4dnn	70	15	.	.	.
cord-005496-cnwg4dnn	71	1	In	in	IN
cord-005496-cnwg4dnn	71	2	machine	machine	NN
cord-005496-cnwg4dnn	71	3	learning	learning	NN
cord-005496-cnwg4dnn	71	4	parlance	parlance	NN
cord-005496-cnwg4dnn	71	5	,	,	,
cord-005496-cnwg4dnn	71	6	input	input	NN
cord-005496-cnwg4dnn	71	7	variables	variable	NNS
cord-005496-cnwg4dnn	71	8	are	be	VBP
cord-005496-cnwg4dnn	71	9	known	know	VBN
cord-005496-cnwg4dnn	71	10	as	as	IN
cord-005496-cnwg4dnn	71	11	"	"	``
cord-005496-cnwg4dnn	71	12	features	feature	NNS
cord-005496-cnwg4dnn	71	13	,	,	,
cord-005496-cnwg4dnn	71	14	"	"	''
cord-005496-cnwg4dnn	71	15	with	with	IN
cord-005496-cnwg4dnn	71	16	each	each	DT
cord-005496-cnwg4dnn	71	17	line	line	NN
cord-005496-cnwg4dnn	71	18	of	of	IN
cord-005496-cnwg4dnn	71	19	data	datum	NNS
cord-005496-cnwg4dnn	71	20	,	,	,
cord-005496-cnwg4dnn	71	21	or	or	CC
cord-005496-cnwg4dnn	71	22	"	"	``
cord-005496-cnwg4dnn	71	23	instance	instance	NN
cord-005496-cnwg4dnn	71	24	,	,	,
cord-005496-cnwg4dnn	71	25	"	"	''
cord-005496-cnwg4dnn	71	26	containing	contain	VBG
cord-005496-cnwg4dnn	71	27	several	several	JJ
cord-005496-cnwg4dnn	71	28	features	feature	NNS
cord-005496-cnwg4dnn	71	29	and	and	CC
cord-005496-cnwg4dnn	71	30	a	a	DT
cord-005496-cnwg4dnn	71	31	single	single	JJ
cord-005496-cnwg4dnn	71	32	class	class	NN
cord-005496-cnwg4dnn	71	33	.	.	.
cord-005496-cnwg4dnn	72	1	Let	let	VB
cord-005496-cnwg4dnn	72	2	us	-PRON-	PRP
cord-005496-cnwg4dnn	72	3	say	say	VB
cord-005496-cnwg4dnn	72	4	we	-PRON-	PRP
cord-005496-cnwg4dnn	72	5	want	want	VBP
cord-005496-cnwg4dnn	72	6	to	to	TO
cord-005496-cnwg4dnn	72	7	develop	develop	VB
cord-005496-cnwg4dnn	72	8	a	a	DT
cord-005496-cnwg4dnn	72	9	classifier	classifier	NN
cord-005496-cnwg4dnn	72	10	algorithm	algorithm	NN
cord-005496-cnwg4dnn	72	11	to	to	TO
cord-005496-cnwg4dnn	72	12	identify	identify	VB
cord-005496-cnwg4dnn	72	13	five	five	CD
cord-005496-cnwg4dnn	72	14	different	different	JJ
cord-005496-cnwg4dnn	72	15	kinds	kind	NNS
cord-005496-cnwg4dnn	72	16	of	of	IN
cord-005496-cnwg4dnn	72	17	animal	animal	NN
cord-005496-cnwg4dnn	72	18	(	(	-LRB-
cord-005496-cnwg4dnn	72	19	Fig	Fig	NNP
cord-005496-cnwg4dnn	72	20	.	.	.
cord-005496-cnwg4dnn	72	21	4	4	CD
cord-005496-cnwg4dnn	72	22	)	)	-RRB-
cord-005496-cnwg4dnn	72	23	.	.	.
cord-005496-cnwg4dnn	73	1	In	in	IN
cord-005496-cnwg4dnn	73	2	this	this	DT
cord-005496-cnwg4dnn	73	3	example	example	NN
cord-005496-cnwg4dnn	73	4	,	,	,
cord-005496-cnwg4dnn	73	5	each	each	DT
cord-005496-cnwg4dnn	73	6	line	line	NN
cord-005496-cnwg4dnn	73	7	of	of	IN
cord-005496-cnwg4dnn	73	8	data	data	NN
cord-005496-cnwg4dnn	73	9	has	have	VBZ
cord-005496-cnwg4dnn	73	10	one	one	CD
cord-005496-cnwg4dnn	73	11	animal	animal	NN
cord-005496-cnwg4dnn	73	12	class	class	NN
cord-005496-cnwg4dnn	73	13	and	and	CC
cord-005496-cnwg4dnn	73	14	several	several	JJ
cord-005496-cnwg4dnn	73	15	features	feature	NNS
cord-005496-cnwg4dnn	73	16	to	to	TO
cord-005496-cnwg4dnn	73	17	describe	describe	VB
cord-005496-cnwg4dnn	73	18	the	the	DT
cord-005496-cnwg4dnn	73	19	animal	animal	NN
cord-005496-cnwg4dnn	73	20	's	's	POS
cord-005496-cnwg4dnn	73	21	characteristic	characteristic	NN
cord-005496-cnwg4dnn	73	22	,	,	,
cord-005496-cnwg4dnn	73	23	such	such	JJ
cord-005496-cnwg4dnn	73	24	as	as	IN
cord-005496-cnwg4dnn	73	25	sea	sea	NN
cord-005496-cnwg4dnn	73	26	or	or	CC
cord-005496-cnwg4dnn	73	27	land	land	NN
cord-005496-cnwg4dnn	73	28	dwelling	dwelling	NN
cord-005496-cnwg4dnn	73	29	,	,	,
cord-005496-cnwg4dnn	73	30	fish	fish	NN
cord-005496-cnwg4dnn	73	31	or	or	CC
cord-005496-cnwg4dnn	73	32	mammal	mammal	NN
cord-005496-cnwg4dnn	73	33	.	.	.
cord-005496-cnwg4dnn	74	1	This	this	DT
cord-005496-cnwg4dnn	74	2	is	be	VBZ
cord-005496-cnwg4dnn	74	3	a	a	DT
cord-005496-cnwg4dnn	74	4	very	very	RB
cord-005496-cnwg4dnn	74	5	simple	simple	JJ
cord-005496-cnwg4dnn	74	6	example	example	NN
cord-005496-cnwg4dnn	74	7	having	have	VBG
cord-005496-cnwg4dnn	74	8	only	only	RB
cord-005496-cnwg4dnn	74	9	one	one	CD
cord-005496-cnwg4dnn	74	10	instance	instance	NN
cord-005496-cnwg4dnn	74	11	per	per	IN
cord-005496-cnwg4dnn	74	12	class	class	NN
cord-005496-cnwg4dnn	74	13	.	.	.
cord-005496-cnwg4dnn	75	1	The	the	DT
cord-005496-cnwg4dnn	75	2	model	model	NN
cord-005496-cnwg4dnn	75	3	,	,	,
cord-005496-cnwg4dnn	75	4	therefore	therefore	RB
cord-005496-cnwg4dnn	75	5	,	,	,
cord-005496-cnwg4dnn	75	6	would	would	MD
cord-005496-cnwg4dnn	75	7	be	be	VB
cord-005496-cnwg4dnn	75	8	totally	totally	RB
cord-005496-cnwg4dnn	75	9	inadequate	inadequate	JJ
cord-005496-cnwg4dnn	75	10	if	if	IN
cord-005496-cnwg4dnn	75	11	its	-PRON-	PRP$
cord-005496-cnwg4dnn	75	12	purpose	purpose	NN
cord-005496-cnwg4dnn	75	13	were	be	VBD
cord-005496-cnwg4dnn	75	14	to	to	TO
cord-005496-cnwg4dnn	75	15	differentiate	differentiate	VB
cord-005496-cnwg4dnn	75	16	among	among	IN
cord-005496-cnwg4dnn	75	17	different	different	JJ
cord-005496-cnwg4dnn	75	18	dog	dog	NN
cord-005496-cnwg4dnn	75	19	or	or	CC
cord-005496-cnwg4dnn	75	20	cat	cat	NN
cord-005496-cnwg4dnn	75	21	breeds	breed	NNS
cord-005496-cnwg4dnn	75	22	.	.	.
cord-005496-cnwg4dnn	76	1	In	in	IN
cord-005496-cnwg4dnn	76	2	that	that	DT
cord-005496-cnwg4dnn	76	3	case	case	NN
cord-005496-cnwg4dnn	76	4	,	,	,
cord-005496-cnwg4dnn	76	5	many	many	JJ
cord-005496-cnwg4dnn	76	6	more	more	JJR
cord-005496-cnwg4dnn	76	7	instances	instance	NNS
cord-005496-cnwg4dnn	76	8	would	would	MD
cord-005496-cnwg4dnn	76	9	be	be	VB
cord-005496-cnwg4dnn	76	10	needed	need	VBN
cord-005496-cnwg4dnn	76	11	to	to	TO
cord-005496-cnwg4dnn	76	12	describe	describe	VB
cord-005496-cnwg4dnn	76	13	different	different	JJ
cord-005496-cnwg4dnn	76	14	types	type	NNS
cord-005496-cnwg4dnn	76	15	of	of	IN
cord-005496-cnwg4dnn	76	16	dogs	dog	NNS
cord-005496-cnwg4dnn	76	17	and	and	CC
cord-005496-cnwg4dnn	76	18	cats	cat	NNS
cord-005496-cnwg4dnn	76	19	.	.	.
cord-005496-cnwg4dnn	77	1	The	the	DT
cord-005496-cnwg4dnn	77	2	more	more	RBR
cord-005496-cnwg4dnn	77	3	specific	specific	JJ
cord-005496-cnwg4dnn	77	4	one	one	NN
cord-005496-cnwg4dnn	77	5	wishes	wish	VBZ
cord-005496-cnwg4dnn	77	6	to	to	TO
cord-005496-cnwg4dnn	77	7	be	be	VB
cord-005496-cnwg4dnn	77	8	,	,	,
cord-005496-cnwg4dnn	77	9	the	the	DT
cord-005496-cnwg4dnn	77	10	more	more	JJR
cord-005496-cnwg4dnn	77	11	features	feature	NNS
cord-005496-cnwg4dnn	77	12	are	be	VBP
cord-005496-cnwg4dnn	77	13	needed	need	VBN
cord-005496-cnwg4dnn	77	14	to	to	TO
cord-005496-cnwg4dnn	77	15	describe	describe	VB
cord-005496-cnwg4dnn	77	16	the	the	DT
cord-005496-cnwg4dnn	77	17	classes	class	NNS
cord-005496-cnwg4dnn	77	18	.	.	.
cord-005496-cnwg4dnn	78	1	On	on	IN
cord-005496-cnwg4dnn	78	2	the	the	DT
cord-005496-cnwg4dnn	78	3	other	other	JJ
cord-005496-cnwg4dnn	78	4	hand	hand	NN
cord-005496-cnwg4dnn	78	5	,	,	,
cord-005496-cnwg4dnn	78	6	increasing	increase	VBG
cord-005496-cnwg4dnn	78	7	the	the	DT
cord-005496-cnwg4dnn	78	8	number	number	NN
cord-005496-cnwg4dnn	78	9	of	of	IN
cord-005496-cnwg4dnn	78	10	features	feature	NNS
cord-005496-cnwg4dnn	78	11	results	result	NNS
cord-005496-cnwg4dnn	78	12	in	in	IN
cord-005496-cnwg4dnn	78	13	complex	complex	JJ
cord-005496-cnwg4dnn	78	14	models	model	NNS
cord-005496-cnwg4dnn	78	15	that	that	WDT
cord-005496-cnwg4dnn	78	16	require	require	VBP
cord-005496-cnwg4dnn	78	17	greater	great	JJR
cord-005496-cnwg4dnn	78	18	computing	computing	NN
cord-005496-cnwg4dnn	78	19	power	power	NN
cord-005496-cnwg4dnn	78	20	and	and	CC
cord-005496-cnwg4dnn	78	21	longer	long	JJR
cord-005496-cnwg4dnn	78	22	time	time	NN
cord-005496-cnwg4dnn	78	23	to	to	TO
cord-005496-cnwg4dnn	78	24	run	run	VB
cord-005496-cnwg4dnn	78	25	,	,	,
cord-005496-cnwg4dnn	78	26	a	a	DT
cord-005496-cnwg4dnn	78	27	condition	condition	NN
cord-005496-cnwg4dnn	78	28	termed	term	VBN
cord-005496-cnwg4dnn	78	29	"	"	``
cord-005496-cnwg4dnn	78	30	the	the	DT
cord-005496-cnwg4dnn	78	31	curse	curse	NN
cord-005496-cnwg4dnn	78	32	of	of	IN
cord-005496-cnwg4dnn	78	33	dimensionality	dimensionality	NN
cord-005496-cnwg4dnn	78	34	.	.	.
cord-005496-cnwg4dnn	78	35	"	"	''
cord-005496-cnwg4dnn	79	1	An	an	DT
cord-005496-cnwg4dnn	79	2	important	important	JJ
cord-005496-cnwg4dnn	79	3	guiding	guide	VBG
cord-005496-cnwg4dnn	79	4	principle	principle	NN
cord-005496-cnwg4dnn	79	5	in	in	IN
cord-005496-cnwg4dnn	79	6	machine	machine	NN
cord-005496-cnwg4dnn	79	7	learning	learning	NN
cord-005496-cnwg4dnn	79	8	is	be	VBZ
cord-005496-cnwg4dnn	79	9	the	the	DT
cord-005496-cnwg4dnn	79	10	truism	truism	NN
cord-005496-cnwg4dnn	79	11	that	that	IN
cord-005496-cnwg4dnn	79	12	"	"	``
cord-005496-cnwg4dnn	79	13	less	less	JJR
cord-005496-cnwg4dnn	79	14	is	be	VBZ
cord-005496-cnwg4dnn	79	15	best	good	JJS
cord-005496-cnwg4dnn	79	16	.	.	.
cord-005496-cnwg4dnn	79	17	"	"	''
cord-005496-cnwg4dnn	80	1	In	in	IN
cord-005496-cnwg4dnn	80	2	mathematical	mathematical	JJ
cord-005496-cnwg4dnn	80	3	terms	term	NNS
cord-005496-cnwg4dnn	80	4	,	,	,
cord-005496-cnwg4dnn	80	5	a	a	DT
cord-005496-cnwg4dnn	80	6	feature	feature	NN
cord-005496-cnwg4dnn	80	7	matrix	matrix	NN
cord-005496-cnwg4dnn	80	8	contains	contain	VBZ
cord-005496-cnwg4dnn	80	9	n	n	JJR
cord-005496-cnwg4dnn	80	10	features	feature	NNS
cord-005496-cnwg4dnn	80	11	and	and	CC
cord-005496-cnwg4dnn	80	12	m	m	LS
cord-005496-cnwg4dnn	80	13	instances	instance	NNS
cord-005496-cnwg4dnn	80	14	,	,	,
cord-005496-cnwg4dnn	80	15	and	and	CC
cord-005496-cnwg4dnn	80	16	it	-PRON-	PRP
cord-005496-cnwg4dnn	80	17	is	be	VBZ
cord-005496-cnwg4dnn	80	18	associated	associate	VBN
cord-005496-cnwg4dnn	80	19	with	with	IN
cord-005496-cnwg4dnn	80	20	an	an	DT
cord-005496-cnwg4dnn	80	21	m	m	NNP
cord-005496-cnwg4dnn	80	22	length	length	NN
cord-005496-cnwg4dnn	80	23	classification	classification	NN
cord-005496-cnwg4dnn	80	24	vector	vector	NN
cord-005496-cnwg4dnn	80	25	:	:	:
cord-005496-cnwg4dnn	80	26	Perhaps	perhaps	RB
cord-005496-cnwg4dnn	80	27	the	the	DT
cord-005496-cnwg4dnn	80	28	most	most	RBS
cord-005496-cnwg4dnn	80	29	important	important	JJ
cord-005496-cnwg4dnn	80	30	step	step	NN
cord-005496-cnwg4dnn	80	31	in	in	IN
cord-005496-cnwg4dnn	80	32	developing	develop	VBG
cord-005496-cnwg4dnn	80	33	a	a	DT
cord-005496-cnwg4dnn	80	34	machine	machine	NN
cord-005496-cnwg4dnn	80	35	learning	learning	NN
cord-005496-cnwg4dnn	80	36	model	model	NN
cord-005496-cnwg4dnn	80	37	is	be	VBZ
cord-005496-cnwg4dnn	80	38	to	to	TO
cord-005496-cnwg4dnn	80	39	have	have	VB
cord-005496-cnwg4dnn	80	40	a	a	DT
cord-005496-cnwg4dnn	80	41	clear	clear	JJ
cord-005496-cnwg4dnn	80	42	definition	definition	NN
cord-005496-cnwg4dnn	80	43	of	of	IN
cord-005496-cnwg4dnn	80	44	the	the	DT
cord-005496-cnwg4dnn	80	45	problem	problem	NN
cord-005496-cnwg4dnn	80	46	and	and	CC
cord-005496-cnwg4dnn	80	47	to	to	TO
cord-005496-cnwg4dnn	80	48	determine	determine	VB
cord-005496-cnwg4dnn	80	49	its	-PRON-	PRP$
cord-005496-cnwg4dnn	80	50	suitability	suitability	NN
cord-005496-cnwg4dnn	80	51	for	for	IN
cord-005496-cnwg4dnn	80	52	machine	machine	NN
cord-005496-cnwg4dnn	80	53	learning	learning	NN
cord-005496-cnwg4dnn	80	54	.	.	.
cord-005496-cnwg4dnn	81	1	The	the	DT
cord-005496-cnwg4dnn	81	2	next	next	JJ
cord-005496-cnwg4dnn	81	3	step	step	NN
cord-005496-cnwg4dnn	81	4	is	be	VBZ
cord-005496-cnwg4dnn	81	5	to	to	TO
cord-005496-cnwg4dnn	81	6	determine	determine	VB
cord-005496-cnwg4dnn	81	7	the	the	DT
cord-005496-cnwg4dnn	81	8	size	size	NN
cord-005496-cnwg4dnn	81	9	of	of	IN
cord-005496-cnwg4dnn	81	10	the	the	DT
cord-005496-cnwg4dnn	81	11	feature	feature	NN
cord-005496-cnwg4dnn	81	12	matrix	matrix	NN
cord-005496-cnwg4dnn	81	13	and	and	CC
cord-005496-cnwg4dnn	81	14	the	the	DT
cord-005496-cnwg4dnn	81	15	classification	classification	NN
cord-005496-cnwg4dnn	81	16	vector	vector	NN
cord-005496-cnwg4dnn	81	17	(	(	-LRB-
cord-005496-cnwg4dnn	81	18	Fig	Fig	NNP
cord-005496-cnwg4dnn	81	19	.	.	.
cord-005496-cnwg4dnn	81	20	5	5	CD
cord-005496-cnwg4dnn	81	21	)	)	-RRB-
cord-005496-cnwg4dnn	81	22	.	.	.
cord-005496-cnwg4dnn	82	1	Whereas	whereas	IN
cord-005496-cnwg4dnn	82	2	humans	human	NNS
cord-005496-cnwg4dnn	82	3	develop	develop	VBP
cord-005496-cnwg4dnn	82	4	generalized	generalize	VBN
cord-005496-cnwg4dnn	82	5	concepts	concept	NNS
cord-005496-cnwg4dnn	82	6	on	on	IN
cord-005496-cnwg4dnn	82	7	the	the	DT
cord-005496-cnwg4dnn	82	8	basis	basis	NN
cord-005496-cnwg4dnn	82	9	of	of	IN
cord-005496-cnwg4dnn	82	10	just	just	RB
cord-005496-cnwg4dnn	82	11	a	a	DT
cord-005496-cnwg4dnn	82	12	few	few	JJ
cord-005496-cnwg4dnn	82	13	examples	example	NNS
cord-005496-cnwg4dnn	82	14	,	,	,
cord-005496-cnwg4dnn	82	15	training	train	VBG
cord-005496-cnwg4dnn	82	16	a	a	DT
cord-005496-cnwg4dnn	82	17	machine	machine	NN
cord-005496-cnwg4dnn	82	18	learning	learning	NN
cord-005496-cnwg4dnn	82	19	algorithm	algorithm	NN
cord-005496-cnwg4dnn	82	20	requires	require	VBZ
cord-005496-cnwg4dnn	82	21	large	large	JJ
cord-005496-cnwg4dnn	82	22	quantities	quantity	NNS
cord-005496-cnwg4dnn	82	23	of	of	IN
cord-005496-cnwg4dnn	82	24	data	datum	NNS
cord-005496-cnwg4dnn	82	25	.	.	.
cord-005496-cnwg4dnn	83	1	The	the	DT
cord-005496-cnwg4dnn	83	2	creation	creation	NN
cord-005496-cnwg4dnn	83	3	of	of	IN
cord-005496-cnwg4dnn	83	4	a	a	DT
cord-005496-cnwg4dnn	83	5	large	large	JJ
cord-005496-cnwg4dnn	83	6	feature	feature	NN
cord-005496-cnwg4dnn	83	7	matrix	matrix	NN
cord-005496-cnwg4dnn	83	8	with	with	IN
cord-005496-cnwg4dnn	83	9	its	-PRON-	PRP$
cord-005496-cnwg4dnn	83	10	classification	classification	NN
cord-005496-cnwg4dnn	83	11	vector	vector	NN
cord-005496-cnwg4dnn	83	12	is	be	VBZ
cord-005496-cnwg4dnn	83	13	accomplished	accomplish	VBN
cord-005496-cnwg4dnn	83	14	by	by	IN
cord-005496-cnwg4dnn	83	15	gathering	gather	VBG
cord-005496-cnwg4dnn	83	16	as	as	IN
cord-005496-cnwg4dnn	83	17	many	many	JJ
cord-005496-cnwg4dnn	83	18	instances	instance	NNS
cord-005496-cnwg4dnn	83	19	as	as	IN
cord-005496-cnwg4dnn	83	20	possible	possible	JJ
cord-005496-cnwg4dnn	83	21	.	.	.
cord-005496-cnwg4dnn	84	1	Once	once	RB
cord-005496-cnwg4dnn	84	2	satisfied	satisfied	JJ
cord-005496-cnwg4dnn	84	3	that	that	IN
cord-005496-cnwg4dnn	84	4	we	-PRON-	PRP
cord-005496-cnwg4dnn	84	5	have	have	VBP
cord-005496-cnwg4dnn	84	6	collected	collect	VBN
cord-005496-cnwg4dnn	84	7	an	an	DT
cord-005496-cnwg4dnn	84	8	adequate	adequate	JJ
cord-005496-cnwg4dnn	84	9	number	number	NN
cord-005496-cnwg4dnn	84	10	of	of	IN
cord-005496-cnwg4dnn	84	11	examples	example	NNS
cord-005496-cnwg4dnn	84	12	to	to	TO
cord-005496-cnwg4dnn	84	13	be	be	VB
cord-005496-cnwg4dnn	84	14	presented	present	VBN
cord-005496-cnwg4dnn	84	15	to	to	IN
cord-005496-cnwg4dnn	84	16	the	the	DT
cord-005496-cnwg4dnn	84	17	computer	computer	NN
cord-005496-cnwg4dnn	84	18	,	,	,
cord-005496-cnwg4dnn	84	19	we	-PRON-	PRP
cord-005496-cnwg4dnn	84	20	split	split	VBD
cord-005496-cnwg4dnn	84	21	the	the	DT
cord-005496-cnwg4dnn	84	22	feature	feature	NN
cord-005496-cnwg4dnn	84	23	matrix	matrix	NN
cord-005496-cnwg4dnn	84	24	into	into	IN
cord-005496-cnwg4dnn	84	25	a	a	DT
cord-005496-cnwg4dnn	84	26	"	"	``
cord-005496-cnwg4dnn	84	27	training	training	NN
cord-005496-cnwg4dnn	84	28	"	"	''
cord-005496-cnwg4dnn	84	29	dataset	dataset	NN
cord-005496-cnwg4dnn	84	30	,	,	,
cord-005496-cnwg4dnn	84	31	for	for	IN
cord-005496-cnwg4dnn	84	32	model	model	NN
cord-005496-cnwg4dnn	84	33	development	development	NN
cord-005496-cnwg4dnn	84	34	,	,	,
cord-005496-cnwg4dnn	84	35	and	and	CC
cord-005496-cnwg4dnn	84	36	a	a	DT
cord-005496-cnwg4dnn	84	37	"	"	``
cord-005496-cnwg4dnn	84	38	test	test	NN
cord-005496-cnwg4dnn	84	39	"	"	''
cord-005496-cnwg4dnn	84	40	dataset	dataset	NN
cord-005496-cnwg4dnn	84	41	.	.	.
cord-005496-cnwg4dnn	85	1	The	the	DT
cord-005496-cnwg4dnn	85	2	data	datum	NNS
cord-005496-cnwg4dnn	85	3	are	be	VBP
cord-005496-cnwg4dnn	85	4	split	split	VBN
cord-005496-cnwg4dnn	85	5	by	by	IN
cord-005496-cnwg4dnn	85	6	a	a	DT
cord-005496-cnwg4dnn	85	7	random	random	JJ
cord-005496-cnwg4dnn	85	8	process	process	NN
cord-005496-cnwg4dnn	85	9	that	that	WDT
cord-005496-cnwg4dnn	85	10	assigns	assign	VBZ
cord-005496-cnwg4dnn	85	11	instances	instance	NNS
cord-005496-cnwg4dnn	85	12	from	from	IN
cord-005496-cnwg4dnn	85	13	the	the	DT
cord-005496-cnwg4dnn	85	14	original	original	JJ
cord-005496-cnwg4dnn	85	15	data	datum	NNS
cord-005496-cnwg4dnn	85	16	to	to	IN
cord-005496-cnwg4dnn	85	17	each	each	DT
cord-005496-cnwg4dnn	85	18	dataset	dataset	NN
cord-005496-cnwg4dnn	85	19	.	.	.
cord-005496-cnwg4dnn	86	1	A	a	DT
cord-005496-cnwg4dnn	86	2	common	common	JJ
cord-005496-cnwg4dnn	86	3	practice	practice	NN
cord-005496-cnwg4dnn	86	4	is	be	VBZ
cord-005496-cnwg4dnn	86	5	to	to	TO
cord-005496-cnwg4dnn	86	6	use	use	VB
cord-005496-cnwg4dnn	86	7	70	70	CD
cord-005496-cnwg4dnn	86	8	%	%	NN
cord-005496-cnwg4dnn	86	9	or	or	CC
cord-005496-cnwg4dnn	86	10	80	80	CD
cord-005496-cnwg4dnn	86	11	%	%	NN
cord-005496-cnwg4dnn	86	12	of	of	IN
cord-005496-cnwg4dnn	86	13	the	the	DT
cord-005496-cnwg4dnn	86	14	data	datum	NNS
cord-005496-cnwg4dnn	86	15	for	for	IN
cord-005496-cnwg4dnn	86	16	training	training	NN
cord-005496-cnwg4dnn	86	17	and	and	CC
cord-005496-cnwg4dnn	86	18	the	the	DT
cord-005496-cnwg4dnn	86	19	remainder	remainder	NN
cord-005496-cnwg4dnn	86	20	for	for	IN
cord-005496-cnwg4dnn	86	21	testing	testing	NN
cord-005496-cnwg4dnn	86	22	.	.	.
cord-005496-cnwg4dnn	87	1	The	the	DT
cord-005496-cnwg4dnn	87	2	purpose	purpose	NN
cord-005496-cnwg4dnn	87	3	of	of	IN
cord-005496-cnwg4dnn	87	4	the	the	DT
cord-005496-cnwg4dnn	87	5	"	"	``
cord-005496-cnwg4dnn	87	6	test	test	NN
cord-005496-cnwg4dnn	87	7	"	"	''
cord-005496-cnwg4dnn	87	8	dataset	dataset	NN
cord-005496-cnwg4dnn	87	9	is	be	VBZ
cord-005496-cnwg4dnn	87	10	to	to	TO
cord-005496-cnwg4dnn	87	11	assess	assess	VB
cord-005496-cnwg4dnn	87	12	the	the	DT
cord-005496-cnwg4dnn	87	13	algorithm	algorithm	NN
cord-005496-cnwg4dnn	87	14	's	's	POS
cord-005496-cnwg4dnn	87	15	accuracy	accuracy	NN
cord-005496-cnwg4dnn	87	16	when	when	WRB
cord-005496-cnwg4dnn	87	17	exposed	expose	VBN
cord-005496-cnwg4dnn	87	18	to	to	IN
cord-005496-cnwg4dnn	87	19	never	never	RB
cord-005496-cnwg4dnn	87	20	before	before	IN
cord-005496-cnwg4dnn	87	21	seen	see	VBN
cord-005496-cnwg4dnn	87	22	data	datum	NNS
cord-005496-cnwg4dnn	87	23	.	.	.
cord-005496-cnwg4dnn	88	1	Accuracy	accuracy	NN
cord-005496-cnwg4dnn	88	2	is	be	VBZ
cord-005496-cnwg4dnn	88	3	defined	define	VBN
cord-005496-cnwg4dnn	88	4	as	as	IN
cord-005496-cnwg4dnn	88	5	the	the	DT
cord-005496-cnwg4dnn	88	6	percentage	percentage	NN
cord-005496-cnwg4dnn	88	7	of	of	IN
cord-005496-cnwg4dnn	88	8	correct	correct	JJ
cord-005496-cnwg4dnn	88	9	answers	answer	NNS
cord-005496-cnwg4dnn	88	10	made	make	VBN
cord-005496-cnwg4dnn	88	11	by	by	IN
cord-005496-cnwg4dnn	88	12	the	the	DT
cord-005496-cnwg4dnn	88	13	algorithm	algorithm	NN
cord-005496-cnwg4dnn	88	14	on	on	IN
cord-005496-cnwg4dnn	88	15	the	the	DT
cord-005496-cnwg4dnn	88	16	unknown	unknown	JJ
cord-005496-cnwg4dnn	88	17	"	"	``
cord-005496-cnwg4dnn	88	18	test	test	NN
cord-005496-cnwg4dnn	88	19	"	"	''
cord-005496-cnwg4dnn	88	20	dataset	dataset	NN
cord-005496-cnwg4dnn	88	21	.	.	.
cord-005496-cnwg4dnn	89	1	Should	Should	MD
cord-005496-cnwg4dnn	89	2	accuracy	accuracy	NN
cord-005496-cnwg4dnn	89	3	fall	fall	VB
cord-005496-cnwg4dnn	89	4	below	below	IN
cord-005496-cnwg4dnn	89	5	a	a	DT
cord-005496-cnwg4dnn	89	6	chosen	choose	VBN
cord-005496-cnwg4dnn	89	7	expected	expect	VBN
cord-005496-cnwg4dnn	89	8	value	value	NN
cord-005496-cnwg4dnn	89	9	,	,	,
cord-005496-cnwg4dnn	89	10	we	-PRON-	PRP
cord-005496-cnwg4dnn	89	11	can	can	MD
cord-005496-cnwg4dnn	89	12	choose	choose	VB
cord-005496-cnwg4dnn	89	13	to	to	TO
cord-005496-cnwg4dnn	89	14	gather	gather	VB
cord-005496-cnwg4dnn	89	15	more	more	JJR
cord-005496-cnwg4dnn	89	16	"	"	``
cord-005496-cnwg4dnn	89	17	training	training	NN
cord-005496-cnwg4dnn	89	18	"	"	''
cord-005496-cnwg4dnn	89	19	data	datum	NNS
cord-005496-cnwg4dnn	89	20	or	or	CC
cord-005496-cnwg4dnn	89	21	to	to	TO
cord-005496-cnwg4dnn	89	22	use	use	VB
cord-005496-cnwg4dnn	89	23	another	another	DT
cord-005496-cnwg4dnn	89	24	type	type	NN
cord-005496-cnwg4dnn	89	25	of	of	IN
cord-005496-cnwg4dnn	89	26	machine	machine	NN
cord-005496-cnwg4dnn	89	27	learning	learning	NN
cord-005496-cnwg4dnn	89	28	algorithm	algorithm	NN
cord-005496-cnwg4dnn	89	29	altogether	altogether	RB
cord-005496-cnwg4dnn	89	30	.	.	.
cord-005496-cnwg4dnn	90	1	Several	several	JJ
cord-005496-cnwg4dnn	90	2	types	type	NNS
cord-005496-cnwg4dnn	90	3	of	of	IN
cord-005496-cnwg4dnn	90	4	classifier	classifier	NN
cord-005496-cnwg4dnn	90	5	algorithms	algorithm	NNS
cord-005496-cnwg4dnn	90	6	may	may	MD
cord-005496-cnwg4dnn	90	7	be	be	VB
cord-005496-cnwg4dnn	90	8	used	use	VBN
cord-005496-cnwg4dnn	90	9	to	to	TO
cord-005496-cnwg4dnn	90	10	create	create	VB
cord-005496-cnwg4dnn	90	11	the	the	DT
cord-005496-cnwg4dnn	90	12	machine	machine	NN
cord-005496-cnwg4dnn	90	13	learning	learning	NN
cord-005496-cnwg4dnn	90	14	model	model	NN
cord-005496-cnwg4dnn	90	15	.	.	.
cord-005496-cnwg4dnn	91	1	Among	among	IN
cord-005496-cnwg4dnn	91	2	them	-PRON-	PRP
cord-005496-cnwg4dnn	91	3	are	be	VBP
cord-005496-cnwg4dnn	91	4	decision	decision	NN
cord-005496-cnwg4dnn	91	5	trees	tree	NNS
cord-005496-cnwg4dnn	91	6	,	,	,
cord-005496-cnwg4dnn	91	7	random	random	JJ
cord-005496-cnwg4dnn	91	8	forests	forest	NNS
cord-005496-cnwg4dnn	91	9	,	,	,
cord-005496-cnwg4dnn	91	10	k	k	NN
cord-005496-cnwg4dnn	91	11	-	-	HYPH
cord-005496-cnwg4dnn	91	12	nearest	near	JJS
cord-005496-cnwg4dnn	91	13	neighbors	neighbor	NNS
cord-005496-cnwg4dnn	91	14	,	,	,
cord-005496-cnwg4dnn	91	15	and	and	CC
cord-005496-cnwg4dnn	91	16	many	many	JJ
cord-005496-cnwg4dnn	91	17	others	other	NNS
cord-005496-cnwg4dnn	91	18	(	(	-LRB-
cord-005496-cnwg4dnn	91	19	Fig	fig	NN
cord-005496-cnwg4dnn	91	20	.	.	.
cord-005496-cnwg4dnn	91	21	3	3	CD
cord-005496-cnwg4dnn	91	22	)	)	-RRB-
cord-005496-cnwg4dnn	91	23	.	.	.
cord-005496-cnwg4dnn	92	1	A	a	DT
cord-005496-cnwg4dnn	92	2	popular	popular	JJ
cord-005496-cnwg4dnn	92	3	type	type	NN
cord-005496-cnwg4dnn	92	4	of	of	IN
cord-005496-cnwg4dnn	92	5	classifier	classifier	NN
cord-005496-cnwg4dnn	92	6	algorithm	algorithm	NN
cord-005496-cnwg4dnn	92	7	is	be	VBZ
cord-005496-cnwg4dnn	92	8	the	the	DT
cord-005496-cnwg4dnn	92	9	neural	neural	JJ
cord-005496-cnwg4dnn	92	10	network	network	NN
cord-005496-cnwg4dnn	92	11	,	,	,
cord-005496-cnwg4dnn	92	12	modeled	model	VBN
cord-005496-cnwg4dnn	92	13	on	on	IN
cord-005496-cnwg4dnn	92	14	the	the	DT
cord-005496-cnwg4dnn	92	15	way	way	NN
cord-005496-cnwg4dnn	92	16	human	human	JJ
cord-005496-cnwg4dnn	92	17	neurons	neuron	NNS
cord-005496-cnwg4dnn	92	18	are	be	VBP
cord-005496-cnwg4dnn	92	19	thought	think	VBN
cord-005496-cnwg4dnn	92	20	to	to	TO
cord-005496-cnwg4dnn	92	21	process	process	VB
cord-005496-cnwg4dnn	92	22	information	information	NN
cord-005496-cnwg4dnn	92	23	.	.	.
cord-005496-cnwg4dnn	93	1	The	the	DT
cord-005496-cnwg4dnn	93	2	basic	basic	JJ
cord-005496-cnwg4dnn	93	3	element	element	NN
cord-005496-cnwg4dnn	93	4	of	of	IN
cord-005496-cnwg4dnn	93	5	the	the	DT
cord-005496-cnwg4dnn	93	6	neural	neural	JJ
cord-005496-cnwg4dnn	93	7	network	network	NN
cord-005496-cnwg4dnn	93	8	,	,	,
cord-005496-cnwg4dnn	93	9	the	the	DT
cord-005496-cnwg4dnn	93	10	perceptron	perceptron	NN
cord-005496-cnwg4dnn	93	11	,	,	,
cord-005496-cnwg4dnn	93	12	produces	produce	VBZ
cord-005496-cnwg4dnn	93	13	a	a	DT
cord-005496-cnwg4dnn	93	14	single	single	JJ
cord-005496-cnwg4dnn	93	15	binary	binary	JJ
cord-005496-cnwg4dnn	93	16	output	output	NN
cord-005496-cnwg4dnn	93	17	from	from	IN
cord-005496-cnwg4dnn	93	18	several	several	JJ
cord-005496-cnwg4dnn	93	19	inputs	input	NNS
cord-005496-cnwg4dnn	93	20	.	.	.
cord-005496-cnwg4dnn	94	1	A	a	DT
cord-005496-cnwg4dnn	94	2	neural	neural	JJ
cord-005496-cnwg4dnn	94	3	network	network	NN
cord-005496-cnwg4dnn	94	4	results	result	NNS
cord-005496-cnwg4dnn	94	5	from	from	IN
cord-005496-cnwg4dnn	94	6	the	the	DT
cord-005496-cnwg4dnn	94	7	interacting	interacting	NN
cord-005496-cnwg4dnn	94	8	of	of	IN
cord-005496-cnwg4dnn	94	9	several	several	JJ
cord-005496-cnwg4dnn	94	10	perceptrons	perceptron	NNS
cord-005496-cnwg4dnn	94	11	.	.	.
cord-005496-cnwg4dnn	95	1	Advanced	advanced	JJ
cord-005496-cnwg4dnn	95	2	machine	machine	NN
cord-005496-cnwg4dnn	95	3	learning	learn	VBG
cord-005496-cnwg4dnn	95	4	systems	system	NNS
cord-005496-cnwg4dnn	95	5	encompassing	encompass	VBG
cord-005496-cnwg4dnn	95	6	several	several	JJ
cord-005496-cnwg4dnn	95	7	layers	layer	NNS
cord-005496-cnwg4dnn	95	8	of	of	IN
cord-005496-cnwg4dnn	95	9	stacked	stack	VBN
cord-005496-cnwg4dnn	95	10	complex	complex	JJ
cord-005496-cnwg4dnn	95	11	neural	neural	JJ
cord-005496-cnwg4dnn	95	12	networks	network	NNS
cord-005496-cnwg4dnn	95	13	are	be	VBP
cord-005496-cnwg4dnn	95	14	called	call	VBN
cord-005496-cnwg4dnn	95	15	deep	deep	JJ
cord-005496-cnwg4dnn	95	16	learning	learning	NN
cord-005496-cnwg4dnn	95	17	.	.	.
cord-005496-cnwg4dnn	96	1	It	-PRON-	PRP
cord-005496-cnwg4dnn	96	2	is	be	VBZ
cord-005496-cnwg4dnn	96	3	beyond	beyond	IN
cord-005496-cnwg4dnn	96	4	the	the	DT
cord-005496-cnwg4dnn	96	5	purpose	purpose	NN
cord-005496-cnwg4dnn	96	6	of	of	IN
cord-005496-cnwg4dnn	96	7	this	this	DT
cord-005496-cnwg4dnn	96	8	chapter	chapter	NN
cord-005496-cnwg4dnn	96	9	to	to	TO
cord-005496-cnwg4dnn	96	10	describe	describe	VB
cord-005496-cnwg4dnn	96	11	the	the	DT
cord-005496-cnwg4dnn	96	12	theory	theory	NN
cord-005496-cnwg4dnn	96	13	and	and	CC
cord-005496-cnwg4dnn	96	14	application	application	NN
cord-005496-cnwg4dnn	96	15	of	of	IN
cord-005496-cnwg4dnn	96	16	these	these	DT
cord-005496-cnwg4dnn	96	17	algorithms	algorithm	NNS
cord-005496-cnwg4dnn	96	18	(	(	-LRB-
cord-005496-cnwg4dnn	96	19	listed	list	VBN
cord-005496-cnwg4dnn	96	20	in	in	IN
cord-005496-cnwg4dnn	96	21	Fig	Fig	NNP
cord-005496-cnwg4dnn	96	22	.	.	.
cord-005496-cnwg4dnn	96	23	3	3	CD
cord-005496-cnwg4dnn	96	24	)	)	-RRB-
cord-005496-cnwg4dnn	96	25	,	,	,
cord-005496-cnwg4dnn	96	26	but	but	CC
cord-005496-cnwg4dnn	96	27	the	the	DT
cord-005496-cnwg4dnn	96	28	reader	reader	NN
cord-005496-cnwg4dnn	96	29	interested	interested	JJ
cord-005496-cnwg4dnn	96	30	in	in	IN
cord-005496-cnwg4dnn	96	31	pursuing	pursue	VBG
cord-005496-cnwg4dnn	96	32	this	this	DT
cord-005496-cnwg4dnn	96	33	line	line	NN
cord-005496-cnwg4dnn	96	34	of	of	IN
cord-005496-cnwg4dnn	96	35	investigation	investigation	NN
cord-005496-cnwg4dnn	96	36	can	can	MD
cord-005496-cnwg4dnn	96	37	access	access	VB
cord-005496-cnwg4dnn	96	38	"	"	``
cord-005496-cnwg4dnn	96	39	scikit	scikit	NNS
cord-005496-cnwg4dnn	96	40	-	-	HYPH
cord-005496-cnwg4dnn	96	41	learn	learn	VB
cord-005496-cnwg4dnn	96	42	"	"	''
cord-005496-cnwg4dnn	96	43	(	(	-LRB-
cord-005496-cnwg4dnn	96	44	https://scikitlearn.org/stable/	https://scikitlearn.org/stable/	NNP
cord-005496-cnwg4dnn	96	45	)	)	-RRB-
cord-005496-cnwg4dnn	96	46	,	,	,
cord-005496-cnwg4dnn	96	47	an	an	DT
cord-005496-cnwg4dnn	96	48	open	open	JJ
cord-005496-cnwg4dnn	96	49	source	source	NN
cord-005496-cnwg4dnn	96	50	machine	machine	NN
cord-005496-cnwg4dnn	96	51	learning	learning	NN
cord-005496-cnwg4dnn	96	52	library	library	NN
cord-005496-cnwg4dnn	96	53	written	write	VBN
cord-005496-cnwg4dnn	96	54	with	with	IN
cord-005496-cnwg4dnn	96	55	the	the	DT
cord-005496-cnwg4dnn	96	56	Python	Python	NNP
cord-005496-cnwg4dnn	96	57	programming	programming	NN
cord-005496-cnwg4dnn	96	58	language	language	NN
cord-005496-cnwg4dnn	96	59	(	(	-LRB-
cord-005496-cnwg4dnn	96	60	https://www.python.org/	https://www.python.org/	ADD
cord-005496-cnwg4dnn	96	61	)	)	-RRB-
cord-005496-cnwg4dnn	96	62	.	.	.
cord-005496-cnwg4dnn	97	1	This	this	DT
cord-005496-cnwg4dnn	97	2	library	library	NN
cord-005496-cnwg4dnn	97	3	of	of	IN
cord-005496-cnwg4dnn	97	4	programs	program	NNS
cord-005496-cnwg4dnn	97	5	makes	make	VBZ
cord-005496-cnwg4dnn	97	6	it	-PRON-	PRP
cord-005496-cnwg4dnn	97	7	relatively	relatively	RB
cord-005496-cnwg4dnn	97	8	easy	easy	JJ
cord-005496-cnwg4dnn	97	9	to	to	TO
cord-005496-cnwg4dnn	97	10	develop	develop	VB
cord-005496-cnwg4dnn	97	11	classification	classification	NN
cord-005496-cnwg4dnn	97	12	supervised	supervise	VBN
cord-005496-cnwg4dnn	97	13	machine	machine	NN
cord-005496-cnwg4dnn	97	14	learning	learn	VBG
cord-005496-cnwg4dnn	97	15	algorithms	algorithm	NNS
cord-005496-cnwg4dnn	97	16	.	.	.
cord-005496-cnwg4dnn	98	1	When	when	WRB
cord-005496-cnwg4dnn	98	2	building	build	VBG
cord-005496-cnwg4dnn	98	3	a	a	DT
cord-005496-cnwg4dnn	98	4	classifier	classifier	NN
cord-005496-cnwg4dnn	98	5	model	model	NN
cord-005496-cnwg4dnn	98	6	,	,	,
cord-005496-cnwg4dnn	98	7	it	-PRON-	PRP
cord-005496-cnwg4dnn	98	8	is	be	VBZ
cord-005496-cnwg4dnn	98	9	imperative	imperative	JJ
cord-005496-cnwg4dnn	98	10	to	to	TO
cord-005496-cnwg4dnn	98	11	generalize	generalize	VB
cord-005496-cnwg4dnn	98	12	its	-PRON-	PRP$
cord-005496-cnwg4dnn	98	13	utility	utility	NN
cord-005496-cnwg4dnn	98	14	to	to	TO
cord-005496-cnwg4dnn	98	15	make	make	VB
cord-005496-cnwg4dnn	98	16	accurate	accurate	JJ
cord-005496-cnwg4dnn	98	17	predictions	prediction	NNS
cord-005496-cnwg4dnn	98	18	using	use	VBG
cord-005496-cnwg4dnn	98	19	both	both	CC
cord-005496-cnwg4dnn	98	20	the	the	DT
cord-005496-cnwg4dnn	98	21	"	"	``
cord-005496-cnwg4dnn	98	22	training	training	NN
cord-005496-cnwg4dnn	98	23	"	"	''
cord-005496-cnwg4dnn	98	24	and	and	CC
cord-005496-cnwg4dnn	98	25	the	the	DT
cord-005496-cnwg4dnn	98	26	"	"	``
cord-005496-cnwg4dnn	98	27	test	test	NN
cord-005496-cnwg4dnn	98	28	"	"	''
cord-005496-cnwg4dnn	98	29	datasets	dataset	NNS
cord-005496-cnwg4dnn	98	30	.	.	.
cord-005496-cnwg4dnn	99	1	One	one	PRP
cord-005496-cnwg4dnn	99	2	should	should	MD
cord-005496-cnwg4dnn	99	3	beware	beware	VB
cord-005496-cnwg4dnn	99	4	of	of	IN
cord-005496-cnwg4dnn	99	5	models	model	NNS
cord-005496-cnwg4dnn	99	6	of	of	IN
cord-005496-cnwg4dnn	99	7	high	high	JJ
cord-005496-cnwg4dnn	99	8	complexity	complexity	NN
cord-005496-cnwg4dnn	99	9	that	that	WDT
cord-005496-cnwg4dnn	99	10	may	may	MD
cord-005496-cnwg4dnn	99	11	conform	conform	VB
cord-005496-cnwg4dnn	99	12	closely	closely	RB
cord-005496-cnwg4dnn	99	13	to	to	IN
cord-005496-cnwg4dnn	99	14	the	the	DT
cord-005496-cnwg4dnn	99	15	"	"	``
cord-005496-cnwg4dnn	99	16	training	training	NN
cord-005496-cnwg4dnn	99	17	"	"	''
cord-005496-cnwg4dnn	99	18	set	set	VBN
cord-005496-cnwg4dnn	99	19	,	,	,
cord-005496-cnwg4dnn	99	20	but	but	CC
cord-005496-cnwg4dnn	99	21	have	have	VBP
cord-005496-cnwg4dnn	99	22	poor	poor	JJ
cord-005496-cnwg4dnn	99	23	accuracy	accuracy	NN
cord-005496-cnwg4dnn	99	24	when	when	WRB
cord-005496-cnwg4dnn	99	25	applied	apply	VBN
cord-005496-cnwg4dnn	99	26	to	to	IN
cord-005496-cnwg4dnn	99	27	the	the	DT
cord-005496-cnwg4dnn	99	28	"	"	``
cord-005496-cnwg4dnn	99	29	test	test	NN
cord-005496-cnwg4dnn	99	30	"	"	''
cord-005496-cnwg4dnn	99	31	dataset	dataset	NN
cord-005496-cnwg4dnn	99	32	,	,	,
cord-005496-cnwg4dnn	99	33	a	a	DT
cord-005496-cnwg4dnn	99	34	phenomenon	phenomenon	NN
cord-005496-cnwg4dnn	99	35	called	call	VBN
cord-005496-cnwg4dnn	99	36	"	"	``
cord-005496-cnwg4dnn	99	37	overfitting	overfitting	NN
cord-005496-cnwg4dnn	99	38	.	.	.
cord-005496-cnwg4dnn	100	1	"	"	``
cord-005496-cnwg4dnn	100	2	In	in	IN
cord-005496-cnwg4dnn	100	3	this	this	DT
cord-005496-cnwg4dnn	100	4	type	type	NN
cord-005496-cnwg4dnn	100	5	of	of	IN
cord-005496-cnwg4dnn	100	6	machine	machine	NN
cord-005496-cnwg4dnn	100	7	learning	learning	NN
cord-005496-cnwg4dnn	100	8	,	,	,
cord-005496-cnwg4dnn	100	9	no	no	DT
cord-005496-cnwg4dnn	100	10	instructions	instruction	NNS
cord-005496-cnwg4dnn	100	11	are	be	VBP
cord-005496-cnwg4dnn	100	12	given	give	VBN
cord-005496-cnwg4dnn	100	13	to	to	IN
cord-005496-cnwg4dnn	100	14	the	the	DT
cord-005496-cnwg4dnn	100	15	algorithm	algorithm	NN
cord-005496-cnwg4dnn	100	16	on	on	IN
cord-005496-cnwg4dnn	100	17	how	how	WRB
cord-005496-cnwg4dnn	100	18	to	to	TO
cord-005496-cnwg4dnn	100	19	process	process	VB
cord-005496-cnwg4dnn	100	20	the	the	DT
cord-005496-cnwg4dnn	100	21	data	datum	NNS
cord-005496-cnwg4dnn	100	22	.	.	.
cord-005496-cnwg4dnn	101	1	Instead	instead	RB
cord-005496-cnwg4dnn	101	2	,	,	,
cord-005496-cnwg4dnn	101	3	the	the	DT
cord-005496-cnwg4dnn	101	4	computer	computer	NN
cord-005496-cnwg4dnn	101	5	is	be	VBZ
cord-005496-cnwg4dnn	101	6	asked	ask	VBN
cord-005496-cnwg4dnn	101	7	to	to	TO
cord-005496-cnwg4dnn	101	8	extract	extract	VB
cord-005496-cnwg4dnn	101	9	knowledge	knowledge	NN
cord-005496-cnwg4dnn	101	10	from	from	IN
cord-005496-cnwg4dnn	101	11	a	a	DT
cord-005496-cnwg4dnn	101	12	large	large	JJ
cord-005496-cnwg4dnn	101	13	set	set	NN
cord-005496-cnwg4dnn	101	14	of	of	IN
cord-005496-cnwg4dnn	101	15	unclassified	unclassified	JJ
cord-005496-cnwg4dnn	101	16	data	datum	NNS
cord-005496-cnwg4dnn	101	17	with	with	IN
cord-005496-cnwg4dnn	101	18	no	no	DT
cord-005496-cnwg4dnn	101	19	known	know	VBN
cord-005496-cnwg4dnn	101	20	output	output	NN
cord-005496-cnwg4dnn	101	21	or	or	CC
cord-005496-cnwg4dnn	101	22	a	a	DT
cord-005496-cnwg4dnn	101	23	set	set	NN
cord-005496-cnwg4dnn	101	24	of	of	IN
cord-005496-cnwg4dnn	101	25	rules	rule	NNS
cord-005496-cnwg4dnn	101	26	.	.	.
cord-005496-cnwg4dnn	102	1	Given	give	VBN
cord-005496-cnwg4dnn	102	2	the	the	DT
cord-005496-cnwg4dnn	102	3	lack	lack	NN
cord-005496-cnwg4dnn	102	4	of	of	IN
cord-005496-cnwg4dnn	102	5	label	label	NN
cord-005496-cnwg4dnn	102	6	information	information	NN
cord-005496-cnwg4dnn	102	7	,	,	,
cord-005496-cnwg4dnn	102	8	a	a	DT
cord-005496-cnwg4dnn	102	9	major	major	JJ
cord-005496-cnwg4dnn	102	10	challenge	challenge	NN
cord-005496-cnwg4dnn	102	11	for	for	IN
cord-005496-cnwg4dnn	102	12	the	the	DT
cord-005496-cnwg4dnn	102	13	investigator	investigator	NN
cord-005496-cnwg4dnn	102	14	when	when	WRB
cord-005496-cnwg4dnn	102	15	evaluating	evaluate	VBG
cord-005496-cnwg4dnn	102	16	an	an	DT
cord-005496-cnwg4dnn	102	17	unsupervised	unsupervised	JJ
cord-005496-cnwg4dnn	102	18	algorithm	algorithm	NN
cord-005496-cnwg4dnn	102	19	is	be	VBZ
cord-005496-cnwg4dnn	102	20	how	how	WRB
cord-005496-cnwg4dnn	102	21	to	to	TO
cord-005496-cnwg4dnn	102	22	determine	determine	VB
cord-005496-cnwg4dnn	102	23	the	the	DT
cord-005496-cnwg4dnn	102	24	utility	utility	NN
cord-005496-cnwg4dnn	102	25	of	of	IN
cord-005496-cnwg4dnn	102	26	the	the	DT
cord-005496-cnwg4dnn	102	27	results	result	NNS
cord-005496-cnwg4dnn	102	28	,	,	,
cord-005496-cnwg4dnn	102	29	or	or	CC
cord-005496-cnwg4dnn	102	30	whether	whether	IN
cord-005496-cnwg4dnn	102	31	the	the	DT
cord-005496-cnwg4dnn	102	32	right	right	JJ
cord-005496-cnwg4dnn	102	33	output	output	NN
cord-005496-cnwg4dnn	102	34	has	have	VBZ
cord-005496-cnwg4dnn	102	35	been	be	VBN
cord-005496-cnwg4dnn	102	36	achieved	achieve	VBN
cord-005496-cnwg4dnn	102	37	.	.	.
cord-005496-cnwg4dnn	103	1	Unsupervised	unsupervised	JJ
cord-005496-cnwg4dnn	103	2	algorithms	algorithm	NNS
cord-005496-cnwg4dnn	103	3	,	,	,
cord-005496-cnwg4dnn	103	4	however	however	RB
cord-005496-cnwg4dnn	103	5	,	,	,
cord-005496-cnwg4dnn	103	6	can	can	MD
cord-005496-cnwg4dnn	103	7	be	be	VB
cord-005496-cnwg4dnn	103	8	very	very	RB
cord-005496-cnwg4dnn	103	9	useful	useful	JJ
cord-005496-cnwg4dnn	103	10	in	in	IN
cord-005496-cnwg4dnn	103	11	exploratory	exploratory	JJ
cord-005496-cnwg4dnn	103	12	attempts	attempt	NNS
cord-005496-cnwg4dnn	103	13	to	to	TO
cord-005496-cnwg4dnn	103	14	understand	understand	VB
cord-005496-cnwg4dnn	103	15	large	large	JJ
cord-005496-cnwg4dnn	103	16	collections	collection	NNS
cord-005496-cnwg4dnn	103	17	of	of	IN
cord-005496-cnwg4dnn	103	18	data	datum	NNS
cord-005496-cnwg4dnn	103	19	.	.	.
cord-005496-cnwg4dnn	104	1	The	the	DT
cord-005496-cnwg4dnn	104	2	techniques	technique	NNS
cord-005496-cnwg4dnn	104	3	most	most	RBS
cord-005496-cnwg4dnn	104	4	commonly	commonly	RB
cord-005496-cnwg4dnn	104	5	used	use	VBN
cord-005496-cnwg4dnn	104	6	are	be	VBP
cord-005496-cnwg4dnn	104	7	clustering	cluster	VBG
cord-005496-cnwg4dnn	104	8	,	,	,
cord-005496-cnwg4dnn	104	9	anomaly	anomaly	NN
cord-005496-cnwg4dnn	104	10	detection	detection	NN
cord-005496-cnwg4dnn	104	11	,	,	,
cord-005496-cnwg4dnn	104	12	and	and	CC
cord-005496-cnwg4dnn	104	13	dimensionality	dimensionality	NN
cord-005496-cnwg4dnn	104	14	reduction	reduction	NN
cord-005496-cnwg4dnn	104	15	.	.	.
cord-005496-cnwg4dnn	105	1	In	in	IN
cord-005496-cnwg4dnn	105	2	clustering	clustering	NN
cord-005496-cnwg4dnn	105	3	,	,	,
cord-005496-cnwg4dnn	105	4	algorithms	algorithm	NNS
cord-005496-cnwg4dnn	105	5	are	be	VBP
cord-005496-cnwg4dnn	105	6	asked	ask	VBN
cord-005496-cnwg4dnn	105	7	to	to	TO
cord-005496-cnwg4dnn	105	8	identify	identify	VB
cord-005496-cnwg4dnn	105	9	or	or	CC
cord-005496-cnwg4dnn	105	10	partition	partition	VB
cord-005496-cnwg4dnn	105	11	large	large	JJ
cord-005496-cnwg4dnn	105	12	data	data	NN
cord-005496-cnwg4dnn	105	13	sets	set	NNS
cord-005496-cnwg4dnn	105	14	into	into	IN
cord-005496-cnwg4dnn	105	15	subsections	subsection	NNS
cord-005496-cnwg4dnn	105	16	and	and	CC
cord-005496-cnwg4dnn	105	17	patterns	pattern	NNS
cord-005496-cnwg4dnn	105	18	sharing	share	VBG
cord-005496-cnwg4dnn	105	19	similar	similar	JJ
cord-005496-cnwg4dnn	105	20	characteristics	characteristic	NNS
cord-005496-cnwg4dnn	105	21	.	.	.
cord-005496-cnwg4dnn	106	1	In	in	IN
cord-005496-cnwg4dnn	106	2	anomaly	anomaly	NN
cord-005496-cnwg4dnn	106	3	detection	detection	NN
cord-005496-cnwg4dnn	106	4	the	the	DT
cord-005496-cnwg4dnn	106	5	algorithm	algorithm	NN
cord-005496-cnwg4dnn	106	6	is	be	VBZ
cord-005496-cnwg4dnn	106	7	asked	ask	VBN
cord-005496-cnwg4dnn	106	8	to	to	TO
cord-005496-cnwg4dnn	106	9	detect	detect	VB
cord-005496-cnwg4dnn	106	10	atypical	atypical	JJ
cord-005496-cnwg4dnn	106	11	patterns	pattern	NNS
cord-005496-cnwg4dnn	106	12	in	in	IN
cord-005496-cnwg4dnn	106	13	the	the	DT
cord-005496-cnwg4dnn	106	14	dataset	dataset	NN
cord-005496-cnwg4dnn	106	15	,	,	,
cord-005496-cnwg4dnn	106	16	such	such	JJ
cord-005496-cnwg4dnn	106	17	as	as	IN
cord-005496-cnwg4dnn	106	18	searching	search	VBG
cord-005496-cnwg4dnn	106	19	for	for	IN
cord-005496-cnwg4dnn	106	20	outliers	outlier	NNS
cord-005496-cnwg4dnn	106	21	.	.	.
cord-005496-cnwg4dnn	107	1	Dimensionality	Dimensionality	NNP
cord-005496-cnwg4dnn	107	2	reduction	reduction	NN
cord-005496-cnwg4dnn	107	3	is	be	VBZ
cord-005496-cnwg4dnn	107	4	useful	useful	JJ
cord-005496-cnwg4dnn	107	5	when	when	WRB
cord-005496-cnwg4dnn	107	6	analyzing	analyze	VBG
cord-005496-cnwg4dnn	107	7	data	datum	NNS
cord-005496-cnwg4dnn	107	8	having	have	VBG
cord-005496-cnwg4dnn	107	9	many	many	JJ
cord-005496-cnwg4dnn	107	10	features	feature	NNS
cord-005496-cnwg4dnn	107	11	,	,	,
cord-005496-cnwg4dnn	107	12	or	or	CC
cord-005496-cnwg4dnn	107	13	dimensions	dimension	NNS
cord-005496-cnwg4dnn	107	14	.	.	.
cord-005496-cnwg4dnn	108	1	These	these	DT
cord-005496-cnwg4dnn	108	2	algorithms	algorithm	NNS
cord-005496-cnwg4dnn	108	3	may	may	MD
cord-005496-cnwg4dnn	108	4	be	be	VB
cord-005496-cnwg4dnn	108	5	able	able	JJ
cord-005496-cnwg4dnn	108	6	to	to	TO
cord-005496-cnwg4dnn	108	7	present	present	VB
cord-005496-cnwg4dnn	108	8	the	the	DT
cord-005496-cnwg4dnn	108	9	data	datum	NNS
cord-005496-cnwg4dnn	108	10	in	in	IN
cord-005496-cnwg4dnn	108	11	a	a	DT
cord-005496-cnwg4dnn	108	12	simpler	simple	JJR
cord-005496-cnwg4dnn	108	13	form	form	NN
cord-005496-cnwg4dnn	108	14	,	,	,
cord-005496-cnwg4dnn	108	15	summarizing	summarize	VBG
cord-005496-cnwg4dnn	108	16	its	-PRON-	PRP$
cord-005496-cnwg4dnn	108	17	essential	essential	JJ
cord-005496-cnwg4dnn	108	18	characteristics	characteristic	NNS
cord-005496-cnwg4dnn	108	19	and	and	CC
cord-005496-cnwg4dnn	108	20	making	make	VBG
cord-005496-cnwg4dnn	108	21	it	-PRON-	PRP
cord-005496-cnwg4dnn	108	22	easier	easy	JJR
cord-005496-cnwg4dnn	108	23	for	for	IN
cord-005496-cnwg4dnn	108	24	humans	human	NNS
cord-005496-cnwg4dnn	108	25	or	or	CC
cord-005496-cnwg4dnn	108	26	other	other	JJ
cord-005496-cnwg4dnn	108	27	machine	machine	NN
cord-005496-cnwg4dnn	108	28	learning	learn	VBG
cord-005496-cnwg4dnn	108	29	algorithms	algorithm	NNS
cord-005496-cnwg4dnn	108	30	to	to	TO
cord-005496-cnwg4dnn	108	31	understand	understand	VB
cord-005496-cnwg4dnn	108	32	.	.	.
cord-005496-cnwg4dnn	109	1	An	an	DT
cord-005496-cnwg4dnn	109	2	important	important	JJ
cord-005496-cnwg4dnn	109	3	point	point	NN
cord-005496-cnwg4dnn	109	4	to	to	TO
cord-005496-cnwg4dnn	109	5	keep	keep	VB
cord-005496-cnwg4dnn	109	6	in	in	IN
cord-005496-cnwg4dnn	109	7	mind	mind	NN
cord-005496-cnwg4dnn	109	8	is	be	VBZ
cord-005496-cnwg4dnn	109	9	that	that	IN
cord-005496-cnwg4dnn	109	10	no	no	DT
cord-005496-cnwg4dnn	109	11	machine	machine	NN
cord-005496-cnwg4dnn	109	12	learning	learning	NN
cord-005496-cnwg4dnn	109	13	algorithm	algorithm	NN
cord-005496-cnwg4dnn	109	14	,	,	,
cord-005496-cnwg4dnn	109	15	regardless	regardless	RB
cord-005496-cnwg4dnn	109	16	of	of	IN
cord-005496-cnwg4dnn	109	17	its	-PRON-	PRP$
cord-005496-cnwg4dnn	109	18	accuracy	accuracy	NN
cord-005496-cnwg4dnn	109	19	,	,	,
cord-005496-cnwg4dnn	109	20	is	be	VBZ
cord-005496-cnwg4dnn	109	21	the	the	DT
cord-005496-cnwg4dnn	109	22	only	only	JJ
cord-005496-cnwg4dnn	109	23	possible	possible	JJ
cord-005496-cnwg4dnn	109	24	choice	choice	NN
cord-005496-cnwg4dnn	109	25	for	for	IN
cord-005496-cnwg4dnn	109	26	a	a	DT
cord-005496-cnwg4dnn	109	27	model	model	NN
cord-005496-cnwg4dnn	109	28	.	.	.
cord-005496-cnwg4dnn	110	1	Other	other	JJ
cord-005496-cnwg4dnn	110	2	algorithms	algorithm	NNS
cord-005496-cnwg4dnn	110	3	may	may	MD
cord-005496-cnwg4dnn	110	4	be	be	VB
cord-005496-cnwg4dnn	110	5	capable	capable	JJ
cord-005496-cnwg4dnn	110	6	of	of	IN
cord-005496-cnwg4dnn	110	7	providing	provide	VBG
cord-005496-cnwg4dnn	110	8	a	a	DT
cord-005496-cnwg4dnn	110	9	good	good	JJ
cord-005496-cnwg4dnn	110	10	fit	fit	NN
cord-005496-cnwg4dnn	110	11	and	and	CC
cord-005496-cnwg4dnn	110	12	derive	derive	VBP
cord-005496-cnwg4dnn	110	13	additional	additional	JJ
cord-005496-cnwg4dnn	110	14	useful	useful	JJ
cord-005496-cnwg4dnn	110	15	inferences	inference	NNS
cord-005496-cnwg4dnn	110	16	from	from	IN
cord-005496-cnwg4dnn	110	17	the	the	DT
cord-005496-cnwg4dnn	110	18	data	datum	NNS
cord-005496-cnwg4dnn	110	19	.	.	.
cord-005496-cnwg4dnn	111	1	For	for	IN
cord-005496-cnwg4dnn	111	2	those	those	DT
cord-005496-cnwg4dnn	111	3	wishing	wish	VBG
cord-005496-cnwg4dnn	111	4	to	to	TO
cord-005496-cnwg4dnn	111	5	delve	delve	VB
cord-005496-cnwg4dnn	111	6	deeper	deep	JJR
cord-005496-cnwg4dnn	111	7	into	into	IN
cord-005496-cnwg4dnn	111	8	the	the	DT
cord-005496-cnwg4dnn	111	9	development	development	NN
cord-005496-cnwg4dnn	111	10	of	of	IN
cord-005496-cnwg4dnn	111	11	machine	machine	NN
cord-005496-cnwg4dnn	111	12	learning	learning	NN
cord-005496-cnwg4dnn	111	13	models	model	NNS
cord-005496-cnwg4dnn	111	14	,	,	,
cord-005496-cnwg4dnn	111	15	a	a	DT
cord-005496-cnwg4dnn	111	16	good	good	JJ
cord-005496-cnwg4dnn	111	17	source	source	NN
cord-005496-cnwg4dnn	111	18	of	of	IN
cord-005496-cnwg4dnn	111	19	information	information	NN
cord-005496-cnwg4dnn	111	20	is	be	VBZ
cord-005496-cnwg4dnn	111	21	the	the	DT
cord-005496-cnwg4dnn	111	22	book	book	NN
cord-005496-cnwg4dnn	111	23	by	by	IN
cord-005496-cnwg4dnn	111	24	Müller	Müller	NNP
cord-005496-cnwg4dnn	111	25	and	and	CC
cord-005496-cnwg4dnn	111	26	Guido	Guido	NNP
cord-005496-cnwg4dnn	111	27	[	[	-LRB-
cord-005496-cnwg4dnn	111	28	9	9	CD
cord-005496-cnwg4dnn	111	29	]	]	-RRB-
cord-005496-cnwg4dnn	111	30	and	and	CC
cord-005496-cnwg4dnn	111	31	the	the	DT
cord-005496-cnwg4dnn	111	32	website	website	NN
cord-005496-cnwg4dnn	111	33	(	(	-LRB-
cord-005496-cnwg4dnn	111	34	https://www.geeksforgeeks.org/learning-model-building-scikit-learn-pythonmachine-learning-library/	https://www.geeksforgeeks.org/learning-model-building-scikit-learn-pythonmachine-learning-library/	ADD
cord-005496-cnwg4dnn	111	35	)	)	-RRB-
cord-005496-cnwg4dnn	111	36	.	.	.
cord-005496-cnwg4dnn	112	1	There	there	EX
cord-005496-cnwg4dnn	112	2	are	be	VBP
cord-005496-cnwg4dnn	112	3	numerous	numerous	JJ
cord-005496-cnwg4dnn	112	4	opportunities	opportunity	NNS
cord-005496-cnwg4dnn	112	5	in	in	IN
cord-005496-cnwg4dnn	112	6	the	the	DT
cord-005496-cnwg4dnn	112	7	hospital	hospital	NN
cord-005496-cnwg4dnn	112	8	setting	set	VBG
cord-005496-cnwg4dnn	112	9	to	to	TO
cord-005496-cnwg4dnn	112	10	apply	apply	VB
cord-005496-cnwg4dnn	112	11	AI	AI	NNP
cord-005496-cnwg4dnn	112	12	.	.	.
cord-005496-cnwg4dnn	113	1	Unsupervised	unsupervised	JJ
cord-005496-cnwg4dnn	113	2	machine	machine	NN
cord-005496-cnwg4dnn	113	3	learning	learning	NN
cord-005496-cnwg4dnn	113	4	techniques	technique	NNS
cord-005496-cnwg4dnn	113	5	have	have	VBP
cord-005496-cnwg4dnn	113	6	been	be	VBN
cord-005496-cnwg4dnn	113	7	used	use	VBN
cord-005496-cnwg4dnn	113	8	to	to	TO
cord-005496-cnwg4dnn	113	9	explore	explore	VB
cord-005496-cnwg4dnn	113	10	massive	massive	JJ
cord-005496-cnwg4dnn	113	11	amounts	amount	NNS
cord-005496-cnwg4dnn	113	12	of	of	IN
cord-005496-cnwg4dnn	113	13	data	datum	NNS
cord-005496-cnwg4dnn	113	14	encoded	encode	VBN
cord-005496-cnwg4dnn	113	15	in	in	IN
cord-005496-cnwg4dnn	113	16	electronic	electronic	JJ
cord-005496-cnwg4dnn	113	17	medical	medical	JJ
cord-005496-cnwg4dnn	113	18	records	record	NNS
cord-005496-cnwg4dnn	113	19	.	.	.
cord-005496-cnwg4dnn	114	1	Models	model	NNS
cord-005496-cnwg4dnn	114	2	have	have	VBP
cord-005496-cnwg4dnn	114	3	been	be	VBN
cord-005496-cnwg4dnn	114	4	developed	develop	VBN
cord-005496-cnwg4dnn	114	5	to	to	TO
cord-005496-cnwg4dnn	114	6	obtain	obtain	VB
cord-005496-cnwg4dnn	114	7	important	important	JJ
cord-005496-cnwg4dnn	114	8	information	information	NN
cord-005496-cnwg4dnn	114	9	in	in	IN
cord-005496-cnwg4dnn	114	10	a	a	DT
cord-005496-cnwg4dnn	114	11	patient	patient	NN
cord-005496-cnwg4dnn	114	12	's	's	POS
cord-005496-cnwg4dnn	114	13	chart	chart	NN
cord-005496-cnwg4dnn	114	14	[	[	-LRB-
cord-005496-cnwg4dnn	114	15	10	10	CD
cord-005496-cnwg4dnn	114	16	]	]	-RRB-
cord-005496-cnwg4dnn	114	17	and	and	CC
cord-005496-cnwg4dnn	114	18	identify	identify	VB
cord-005496-cnwg4dnn	114	19	high	high	JJ
cord-005496-cnwg4dnn	114	20	-	-	HYPH
cord-005496-cnwg4dnn	114	21	cost	cost	NN
cord-005496-cnwg4dnn	114	22	patients	patient	NNS
cord-005496-cnwg4dnn	114	23	[	[	-LRB-
cord-005496-cnwg4dnn	114	24	11	11	CD
cord-005496-cnwg4dnn	114	25	]	]	-RRB-
cord-005496-cnwg4dnn	114	26	.	.	.
cord-005496-cnwg4dnn	115	1	Supervised	supervise	VBN
cord-005496-cnwg4dnn	115	2	machine	machine	NN
cord-005496-cnwg4dnn	115	3	learning	learn	VBG
cord-005496-cnwg4dnn	115	4	algorithms	algorithm	NNS
cord-005496-cnwg4dnn	115	5	,	,	,
cord-005496-cnwg4dnn	115	6	given	give	VBN
cord-005496-cnwg4dnn	115	7	their	-PRON-	PRP$
cord-005496-cnwg4dnn	115	8	potential	potential	NN
cord-005496-cnwg4dnn	115	9	for	for	IN
cord-005496-cnwg4dnn	115	10	automated	automate	VBN
cord-005496-cnwg4dnn	115	11	pattern	pattern	NN
cord-005496-cnwg4dnn	115	12	recognition	recognition	NN
cord-005496-cnwg4dnn	115	13	of	of	IN
cord-005496-cnwg4dnn	115	14	images	image	NNS
cord-005496-cnwg4dnn	115	15	,	,	,
cord-005496-cnwg4dnn	115	16	have	have	VBP
cord-005496-cnwg4dnn	115	17	proven	prove	VBN
cord-005496-cnwg4dnn	115	18	their	-PRON-	PRP$
cord-005496-cnwg4dnn	115	19	utility	utility	NN
cord-005496-cnwg4dnn	115	20	in	in	IN
cord-005496-cnwg4dnn	115	21	radiology	radiology	NN
cord-005496-cnwg4dnn	115	22	[	[	-LRB-
cord-005496-cnwg4dnn	115	23	12	12	CD
cord-005496-cnwg4dnn	115	24	]	]	-RRB-
cord-005496-cnwg4dnn	115	25	and	and	CC
cord-005496-cnwg4dnn	115	26	histopathology	histopathology	NN
cord-005496-cnwg4dnn	115	27	[	[	-LRB-
cord-005496-cnwg4dnn	115	28	13	13	CD
cord-005496-cnwg4dnn	115	29	]	]	-RRB-
cord-005496-cnwg4dnn	115	30	.	.	.
cord-005496-cnwg4dnn	116	1	Machine	machine	NN
cord-005496-cnwg4dnn	116	2	learning	learning	NN
cord-005496-cnwg4dnn	116	3	has	have	VBZ
cord-005496-cnwg4dnn	116	4	been	be	VBN
cord-005496-cnwg4dnn	116	5	used	use	VBN
cord-005496-cnwg4dnn	116	6	extensively	extensively	RB
cord-005496-cnwg4dnn	116	7	in	in	IN
cord-005496-cnwg4dnn	116	8	the	the	DT
cord-005496-cnwg4dnn	116	9	fields	field	NNS
cord-005496-cnwg4dnn	116	10	of	of	IN
cord-005496-cnwg4dnn	116	11	surgery	surgery	NN
cord-005496-cnwg4dnn	116	12	,	,	,
cord-005496-cnwg4dnn	116	13	as	as	IN
cord-005496-cnwg4dnn	116	14	it	-PRON-	PRP
cord-005496-cnwg4dnn	116	15	pertains	pertain	VBZ
cord-005496-cnwg4dnn	116	16	to	to	IN
cord-005496-cnwg4dnn	116	17	robotics	robotic	NNS
cord-005496-cnwg4dnn	116	18	[	[	-LRB-
cord-005496-cnwg4dnn	116	19	14	14	CD
cord-005496-cnwg4dnn	116	20	]	]	-RRB-
cord-005496-cnwg4dnn	116	21	,	,	,
cord-005496-cnwg4dnn	116	22	in	in	IN
cord-005496-cnwg4dnn	116	23	cardiology	cardiology	NN
cord-005496-cnwg4dnn	116	24	[	[	-LRB-
cord-005496-cnwg4dnn	116	25	15	15	CD
cord-005496-cnwg4dnn	116	26	]	]	-RRB-
cord-005496-cnwg4dnn	116	27	for	for	IN
cord-005496-cnwg4dnn	116	28	early	early	JJ
cord-005496-cnwg4dnn	116	29	detection	detection	NN
cord-005496-cnwg4dnn	116	30	of	of	IN
cord-005496-cnwg4dnn	116	31	heart	heart	NN
cord-005496-cnwg4dnn	116	32	failure	failure	NN
cord-005496-cnwg4dnn	116	33	[	[	-LRB-
cord-005496-cnwg4dnn	116	34	16	16	CD
cord-005496-cnwg4dnn	116	35	]	]	-RRB-
cord-005496-cnwg4dnn	116	36	,	,	,
cord-005496-cnwg4dnn	116	37	and	and	CC
cord-005496-cnwg4dnn	116	38	in	in	IN
cord-005496-cnwg4dnn	116	39	cancer	cancer	NN
cord-005496-cnwg4dnn	116	40	research	research	NN
cord-005496-cnwg4dnn	116	41	to	to	TO
cord-005496-cnwg4dnn	116	42	classify	classify	VB
cord-005496-cnwg4dnn	116	43	tumor	tumor	NN
cord-005496-cnwg4dnn	116	44	types	type	NNS
cord-005496-cnwg4dnn	116	45	and	and	CC
cord-005496-cnwg4dnn	116	46	growth	growth	NN
cord-005496-cnwg4dnn	116	47	rates	rate	NNS
cord-005496-cnwg4dnn	116	48	[	[	-LRB-
cord-005496-cnwg4dnn	116	49	17	17	CD
cord-005496-cnwg4dnn	116	50	]	]	-RRB-
cord-005496-cnwg4dnn	116	51	.	.	.
cord-005496-cnwg4dnn	117	1	Although	although	IN
cord-005496-cnwg4dnn	117	2	the	the	DT
cord-005496-cnwg4dnn	117	3	introduction	introduction	NN
cord-005496-cnwg4dnn	117	4	of	of	IN
cord-005496-cnwg4dnn	117	5	machine	machine	NN
cord-005496-cnwg4dnn	117	6	learning	learn	VBG
cord-005496-cnwg4dnn	117	7	to	to	IN
cord-005496-cnwg4dnn	117	8	the	the	DT
cord-005496-cnwg4dnn	117	9	ICU	ICU	NNP
cord-005496-cnwg4dnn	117	10	is	be	VBZ
cord-005496-cnwg4dnn	117	11	in	in	IN
cord-005496-cnwg4dnn	117	12	its	-PRON-	PRP$
cord-005496-cnwg4dnn	117	13	infancy	infancy	NN
cord-005496-cnwg4dnn	117	14	,	,	,
cord-005496-cnwg4dnn	117	15	several	several	JJ
cord-005496-cnwg4dnn	117	16	studies	study	NNS
cord-005496-cnwg4dnn	117	17	have	have	VBP
cord-005496-cnwg4dnn	117	18	already	already	RB
cord-005496-cnwg4dnn	117	19	been	be	VBN
cord-005496-cnwg4dnn	117	20	published	publish	VBN
cord-005496-cnwg4dnn	117	21	describing	describe	VBG
cord-005496-cnwg4dnn	117	22	the	the	DT
cord-005496-cnwg4dnn	117	23	application	application	NN
cord-005496-cnwg4dnn	117	24	of	of	IN
cord-005496-cnwg4dnn	117	25	this	this	DT
cord-005496-cnwg4dnn	117	26	technology	technology	NN
cord-005496-cnwg4dnn	117	27	in	in	IN
cord-005496-cnwg4dnn	117	28	the	the	DT
cord-005496-cnwg4dnn	117	29	management	management	NN
cord-005496-cnwg4dnn	117	30	of	of	IN
cord-005496-cnwg4dnn	117	31	the	the	DT
cord-005496-cnwg4dnn	117	32	critically	critically	RB
cord-005496-cnwg4dnn	117	33	ill	ill	JJ
cord-005496-cnwg4dnn	117	34	patient	patient	NN
cord-005496-cnwg4dnn	117	35	.	.	.
cord-005496-cnwg4dnn	118	1	Some	some	DT
cord-005496-cnwg4dnn	118	2	have	have	VBP
cord-005496-cnwg4dnn	118	3	used	use	VBN
cord-005496-cnwg4dnn	118	4	large	large	JJ
cord-005496-cnwg4dnn	118	5	population	population	NN
cord-005496-cnwg4dnn	118	6	datasets	dataset	NNS
cord-005496-cnwg4dnn	118	7	to	to	TO
cord-005496-cnwg4dnn	118	8	predict	predict	VB
cord-005496-cnwg4dnn	118	9	length	length	NN
cord-005496-cnwg4dnn	118	10	of	of	IN
cord-005496-cnwg4dnn	118	11	stay	stay	NN
cord-005496-cnwg4dnn	118	12	,	,	,
cord-005496-cnwg4dnn	118	13	ICU	ICU	NNP
cord-005496-cnwg4dnn	118	14	readmission	readmission	NN
cord-005496-cnwg4dnn	118	15	and	and	CC
cord-005496-cnwg4dnn	118	16	mortality	mortality	NN
cord-005496-cnwg4dnn	118	17	rates	rate	NNS
cord-005496-cnwg4dnn	118	18	,	,	,
cord-005496-cnwg4dnn	118	19	and	and	CC
cord-005496-cnwg4dnn	118	20	the	the	DT
cord-005496-cnwg4dnn	118	21	risks	risk	NNS
cord-005496-cnwg4dnn	118	22	of	of	IN
cord-005496-cnwg4dnn	118	23	developing	develop	VBG
cord-005496-cnwg4dnn	118	24	medical	medical	JJ
cord-005496-cnwg4dnn	118	25	complications	complication	NNS
cord-005496-cnwg4dnn	118	26	or	or	CC
cord-005496-cnwg4dnn	118	27	conditions	condition	NNS
cord-005496-cnwg4dnn	118	28	such	such	JJ
cord-005496-cnwg4dnn	118	29	as	as	IN
cord-005496-cnwg4dnn	118	30	sepsis	sepsis	NN
cord-005496-cnwg4dnn	118	31	and	and	CC
cord-005496-cnwg4dnn	118	32	ARDS	ARDS	NNP
cord-005496-cnwg4dnn	118	33	.	.	.
cord-005496-cnwg4dnn	119	1	Other	other	JJ
cord-005496-cnwg4dnn	119	2	studies	study	NNS
cord-005496-cnwg4dnn	119	3	have	have	VBP
cord-005496-cnwg4dnn	119	4	dealt	deal	VBN
cord-005496-cnwg4dnn	119	5	with	with	IN
cord-005496-cnwg4dnn	119	6	smaller	small	JJR
cord-005496-cnwg4dnn	119	7	datasets	dataset	NNS
cord-005496-cnwg4dnn	119	8	of	of	IN
cord-005496-cnwg4dnn	119	9	clinical	clinical	JJ
cord-005496-cnwg4dnn	119	10	and	and	CC
cord-005496-cnwg4dnn	119	11	physiological	physiological	JJ
cord-005496-cnwg4dnn	119	12	data	datum	NNS
cord-005496-cnwg4dnn	119	13	to	to	TO
cord-005496-cnwg4dnn	119	14	aid	aid	VB
cord-005496-cnwg4dnn	119	15	in	in	IN
cord-005496-cnwg4dnn	119	16	the	the	DT
cord-005496-cnwg4dnn	119	17	monitoring	monitoring	NN
cord-005496-cnwg4dnn	119	18	of	of	IN
cord-005496-cnwg4dnn	119	19	patients	patient	NNS
cord-005496-cnwg4dnn	119	20	undergoing	undergo	VBG
cord-005496-cnwg4dnn	119	21	ventilatory	ventilatory	JJ
cord-005496-cnwg4dnn	119	22	support	support	NN
cord-005496-cnwg4dnn	119	23	.	.	.
cord-005496-cnwg4dnn	120	1	Houthooft	Houthooft	NNP
cord-005496-cnwg4dnn	120	2	et	et	NNP
cord-005496-cnwg4dnn	120	3	al	al	NNP
cord-005496-cnwg4dnn	120	4	.	.	.
cord-005496-cnwg4dnn	121	1	[	[	-LRB-
cord-005496-cnwg4dnn	121	2	18	18	CD
cord-005496-cnwg4dnn	121	3	]	]	-RRB-
cord-005496-cnwg4dnn	121	4	trained	train	VBD
cord-005496-cnwg4dnn	121	5	a	a	DT
cord-005496-cnwg4dnn	121	6	support	support	NN
cord-005496-cnwg4dnn	121	7	vector	vector	NN
cord-005496-cnwg4dnn	121	8	machine	machine	NN
cord-005496-cnwg4dnn	121	9	model	model	NN
cord-005496-cnwg4dnn	121	10	to	to	TO
cord-005496-cnwg4dnn	121	11	forecast	forecast	VB
cord-005496-cnwg4dnn	121	12	patient	patient	JJ
cord-005496-cnwg4dnn	121	13	survival	survival	NN
cord-005496-cnwg4dnn	121	14	and	and	CC
cord-005496-cnwg4dnn	121	15	length	length	NN
cord-005496-cnwg4dnn	121	16	of	of	IN
cord-005496-cnwg4dnn	121	17	stay	stay	NN
cord-005496-cnwg4dnn	121	18	using	use	VBG
cord-005496-cnwg4dnn	121	19	data	datum	NNS
cord-005496-cnwg4dnn	121	20	from	from	IN
cord-005496-cnwg4dnn	121	21	14,480	14,480	CD
cord-005496-cnwg4dnn	121	22	patients	patient	NNS
cord-005496-cnwg4dnn	121	23	.	.	.
cord-005496-cnwg4dnn	122	1	The	the	DT
cord-005496-cnwg4dnn	122	2	model	model	NN
cord-005496-cnwg4dnn	122	3	's	's	POS
cord-005496-cnwg4dnn	122	4	area	area	NN
cord-005496-cnwg4dnn	122	5	under	under	IN
cord-005496-cnwg4dnn	122	6	the	the	DT
cord-005496-cnwg4dnn	122	7	curve	curve	NN
cord-005496-cnwg4dnn	122	8	(	(	-LRB-
cord-005496-cnwg4dnn	122	9	AUC	AUC	NNP
cord-005496-cnwg4dnn	122	10	)	)	-RRB-
cord-005496-cnwg4dnn	122	11	for	for	IN
cord-005496-cnwg4dnn	122	12	predicting	predict	VBG
cord-005496-cnwg4dnn	122	13	a	a	DT
cord-005496-cnwg4dnn	122	14	prolonged	prolonged	JJ
cord-005496-cnwg4dnn	122	15	length	length	NN
cord-005496-cnwg4dnn	122	16	of	of	IN
cord-005496-cnwg4dnn	122	17	stay	stay	NN
cord-005496-cnwg4dnn	122	18	was	be	VBD
cord-005496-cnwg4dnn	122	19	0.82	0.82	CD
cord-005496-cnwg4dnn	122	20	.	.	.
cord-005496-cnwg4dnn	123	1	This	this	DT
cord-005496-cnwg4dnn	123	2	is	be	VBZ
cord-005496-cnwg4dnn	123	3	in	in	IN
cord-005496-cnwg4dnn	123	4	contrast	contrast	NN
cord-005496-cnwg4dnn	123	5	to	to	IN
cord-005496-cnwg4dnn	123	6	a	a	DT
cord-005496-cnwg4dnn	123	7	clinical	clinical	JJ
cord-005496-cnwg4dnn	123	8	study	study	NN
cord-005496-cnwg4dnn	123	9	showing	show	VBG
cord-005496-cnwg4dnn	123	10	the	the	DT
cord-005496-cnwg4dnn	123	11	accuracy	accuracy	NN
cord-005496-cnwg4dnn	123	12	of	of	IN
cord-005496-cnwg4dnn	123	13	physicians	physician	NNS
cord-005496-cnwg4dnn	123	14	to	to	TO
cord-005496-cnwg4dnn	123	15	be	be	VB
cord-005496-cnwg4dnn	123	16	only	only	RB
cord-005496-cnwg4dnn	123	17	53	53	CD
cord-005496-cnwg4dnn	123	18	%	%	NN
cord-005496-cnwg4dnn	123	19	when	when	WRB
cord-005496-cnwg4dnn	123	20	predicting	predict	VBG
cord-005496-cnwg4dnn	123	21	ICU	ICU	NNP
cord-005496-cnwg4dnn	123	22	length	length	NN
cord-005496-cnwg4dnn	123	23	of	of	IN
cord-005496-cnwg4dnn	123	24	stay	stay	NN
cord-005496-cnwg4dnn	123	25	[	[	-LRB-
cord-005496-cnwg4dnn	123	26	19	19	CD
cord-005496-cnwg4dnn	123	27	]	]	-RRB-
cord-005496-cnwg4dnn	123	28	.	.	.
cord-005496-cnwg4dnn	124	1	A	a	DT
cord-005496-cnwg4dnn	124	2	hidden	hidden	JJ
cord-005496-cnwg4dnn	124	3	Markov	Markov	NNP
cord-005496-cnwg4dnn	124	4	model	model	NN
cord-005496-cnwg4dnn	124	5	framework	framework	NN
cord-005496-cnwg4dnn	124	6	applied	apply	VBN
cord-005496-cnwg4dnn	124	7	to	to	IN
cord-005496-cnwg4dnn	124	8	physiological	physiological	JJ
cord-005496-cnwg4dnn	124	9	measurements	measurement	NNS
cord-005496-cnwg4dnn	124	10	taken	take	VBN
cord-005496-cnwg4dnn	124	11	during	during	IN
cord-005496-cnwg4dnn	124	12	the	the	DT
cord-005496-cnwg4dnn	124	13	first	first	JJ
cord-005496-cnwg4dnn	124	14	48	48	CD
cord-005496-cnwg4dnn	124	15	h	h	NN
cord-005496-cnwg4dnn	124	16	of	of	IN
cord-005496-cnwg4dnn	124	17	ICU	ICU	NNP
cord-005496-cnwg4dnn	124	18	admission	admission	NN
cord-005496-cnwg4dnn	124	19	also	also	RB
cord-005496-cnwg4dnn	124	20	predicted	predict	VBD
cord-005496-cnwg4dnn	124	21	ICU	ICU	NNP
cord-005496-cnwg4dnn	124	22	length	length	NN
cord-005496-cnwg4dnn	124	23	of	of	IN
cord-005496-cnwg4dnn	124	24	stay	stay	NN
cord-005496-cnwg4dnn	124	25	with	with	IN
cord-005496-cnwg4dnn	124	26	reasonable	reasonable	JJ
cord-005496-cnwg4dnn	124	27	accuracy	accuracy	NN
cord-005496-cnwg4dnn	124	28	[	[	-LRB-
cord-005496-cnwg4dnn	124	29	20	20	CD
cord-005496-cnwg4dnn	124	30	]	]	-RRB-
cord-005496-cnwg4dnn	124	31	.	.	.
cord-005496-cnwg4dnn	125	1	The	the	DT
cord-005496-cnwg4dnn	125	2	problem	problem	NN
cord-005496-cnwg4dnn	125	3	of	of	IN
cord-005496-cnwg4dnn	125	4	ICU	ICU	NNP
cord-005496-cnwg4dnn	125	5	readmission	readmission	NN
cord-005496-cnwg4dnn	125	6	was	be	VBD
cord-005496-cnwg4dnn	125	7	investigated	investigate	VBN
cord-005496-cnwg4dnn	125	8	with	with	IN
cord-005496-cnwg4dnn	125	9	a	a	DT
cord-005496-cnwg4dnn	125	10	neural	neural	JJ
cord-005496-cnwg4dnn	125	11	network	network	NN
cord-005496-cnwg4dnn	125	12	algorithm	algorithm	NN
cord-005496-cnwg4dnn	125	13	applied	apply	VBN
cord-005496-cnwg4dnn	125	14	to	to	IN
cord-005496-cnwg4dnn	125	15	the	the	DT
cord-005496-cnwg4dnn	125	16	Medical	Medical	NNP
cord-005496-cnwg4dnn	125	17	Information	Information	NNP
cord-005496-cnwg4dnn	125	18	Mart	Mart	NNP
cord-005496-cnwg4dnn	125	19	for	for	IN
cord-005496-cnwg4dnn	125	20	Intensive	Intensive	NNP
cord-005496-cnwg4dnn	125	21	Care	Care	NNP
cord-005496-cnwg4dnn	125	22	III	III	NNP
cord-005496-cnwg4dnn	125	23	(	(	-LRB-
cord-005496-cnwg4dnn	125	24	MIMIC	MIMIC	NNP
cord-005496-cnwg4dnn	125	25	-	-	HYPH
cord-005496-cnwg4dnn	125	26	III	III	NNP
cord-005496-cnwg4dnn	125	27	)	)	-RRB-
cord-005496-cnwg4dnn	125	28	database	database	NN
cord-005496-cnwg4dnn	125	29	.	.	.
cord-005496-cnwg4dnn	126	1	This	this	DT
cord-005496-cnwg4dnn	126	2	is	be	VBZ
cord-005496-cnwg4dnn	126	3	an	an	DT
cord-005496-cnwg4dnn	126	4	open	open	JJ
cord-005496-cnwg4dnn	126	5	source	source	NN
cord-005496-cnwg4dnn	126	6	,	,	,
cord-005496-cnwg4dnn	126	7	freely	freely	RB
cord-005496-cnwg4dnn	126	8	available	available	JJ
cord-005496-cnwg4dnn	126	9	database	database	NN
cord-005496-cnwg4dnn	126	10	collected	collect	VBN
cord-005496-cnwg4dnn	126	11	from	from	IN
cord-005496-cnwg4dnn	126	12	patients	patient	NNS
cord-005496-cnwg4dnn	126	13	treated	treat	VBN
cord-005496-cnwg4dnn	126	14	in	in	IN
cord-005496-cnwg4dnn	126	15	the	the	DT
cord-005496-cnwg4dnn	126	16	critical	critical	JJ
cord-005496-cnwg4dnn	126	17	care	care	NN
cord-005496-cnwg4dnn	126	18	units	unit	NNS
cord-005496-cnwg4dnn	126	19	of	of	IN
cord-005496-cnwg4dnn	126	20	the	the	DT
cord-005496-cnwg4dnn	126	21	Beth	Beth	NNP
cord-005496-cnwg4dnn	126	22	Israel	Israel	NNP
cord-005496-cnwg4dnn	126	23	Deaconess	Deaconess	NNP
cord-005496-cnwg4dnn	126	24	Medical	Medical	NNP
cord-005496-cnwg4dnn	126	25	Center	Center	NNP
cord-005496-cnwg4dnn	126	26	between	between	IN
cord-005496-cnwg4dnn	126	27	2001	2001	CD
cord-005496-cnwg4dnn	126	28	and	and	CC
cord-005496-cnwg4dnn	126	29	2012	2012	CD
cord-005496-cnwg4dnn	126	30	.	.	.
cord-005496-cnwg4dnn	127	1	The	the	DT
cord-005496-cnwg4dnn	127	2	algorithm	algorithm	NN
cord-005496-cnwg4dnn	127	3	was	be	VBD
cord-005496-cnwg4dnn	127	4	able	able	JJ
cord-005496-cnwg4dnn	127	5	to	to	TO
cord-005496-cnwg4dnn	127	6	identify	identify	VB
cord-005496-cnwg4dnn	127	7	patients	patient	NNS
cord-005496-cnwg4dnn	127	8	at	at	IN
cord-005496-cnwg4dnn	127	9	risk	risk	NN
cord-005496-cnwg4dnn	127	10	of	of	IN
cord-005496-cnwg4dnn	127	11	ICU	ICU	NNP
cord-005496-cnwg4dnn	127	12	readmission	readmission	NN
cord-005496-cnwg4dnn	127	13	with	with	IN
cord-005496-cnwg4dnn	127	14	0.74	0.74	CD
cord-005496-cnwg4dnn	127	15	sensitivity	sensitivity	NN
cord-005496-cnwg4dnn	127	16	and	and	CC
cord-005496-cnwg4dnn	127	17	AUC	auc	NN
cord-005496-cnwg4dnn	127	18	of	of	IN
cord-005496-cnwg4dnn	127	19	0.79	0.79	CD
cord-005496-cnwg4dnn	127	20	[	[	-LRB-
cord-005496-cnwg4dnn	127	21	21	21	CD
cord-005496-cnwg4dnn	127	22	]	]	-RRB-
cord-005496-cnwg4dnn	127	23	.	.	.
cord-005496-cnwg4dnn	128	1	Awad	Awad	NNP
cord-005496-cnwg4dnn	128	2	et	et	NNP
cord-005496-cnwg4dnn	128	3	al	al	NNP
cord-005496-cnwg4dnn	128	4	.	.	.
cord-005496-cnwg4dnn	129	1	[	[	-LRB-
cord-005496-cnwg4dnn	129	2	22	22	CD
cord-005496-cnwg4dnn	129	3	]	]	-RRB-
cord-005496-cnwg4dnn	129	4	applied	apply	VBD
cord-005496-cnwg4dnn	129	5	several	several	JJ
cord-005496-cnwg4dnn	129	6	machine	machine	NN
cord-005496-cnwg4dnn	129	7	learning	learn	VBG
cord-005496-cnwg4dnn	129	8	algorithms	algorithm	NNS
cord-005496-cnwg4dnn	129	9	,	,	,
cord-005496-cnwg4dnn	129	10	including	include	VBG
cord-005496-cnwg4dnn	129	11	decision	decision	NN
cord-005496-cnwg4dnn	129	12	trees	tree	NNS
cord-005496-cnwg4dnn	129	13	,	,	,
cord-005496-cnwg4dnn	129	14	random	random	JJ
cord-005496-cnwg4dnn	129	15	forest	forest	NN
cord-005496-cnwg4dnn	129	16	,	,	,
cord-005496-cnwg4dnn	129	17	and	and	CC
cord-005496-cnwg4dnn	129	18	naïve	naïve	JJ
cord-005496-cnwg4dnn	129	19	Bayes	Bayes	NNP
cord-005496-cnwg4dnn	129	20	to	to	IN
cord-005496-cnwg4dnn	129	21	11,722	11,722	CD
cord-005496-cnwg4dnn	129	22	first	first	JJ
cord-005496-cnwg4dnn	129	23	admission	admission	NN
cord-005496-cnwg4dnn	129	24	MIMIC	MIMIC	NNP
cord-005496-cnwg4dnn	129	25	-	-	HYPH
cord-005496-cnwg4dnn	129	26	II	II	NNP
cord-005496-cnwg4dnn	129	27	data	datum	NNS
cord-005496-cnwg4dnn	129	28	to	to	TO
cord-005496-cnwg4dnn	129	29	predict	predict	VB
cord-005496-cnwg4dnn	129	30	ICU	ICU	NNP
cord-005496-cnwg4dnn	129	31	mortality	mortality	NN
cord-005496-cnwg4dnn	129	32	.	.	.
cord-005496-cnwg4dnn	130	1	Features	feature	NNS
cord-005496-cnwg4dnn	130	2	included	include	VBN
cord-005496-cnwg4dnn	130	3	demographic	demographic	JJ
cord-005496-cnwg4dnn	130	4	,	,	,
cord-005496-cnwg4dnn	130	5	physiological	physiological	JJ
cord-005496-cnwg4dnn	130	6	,	,	,
cord-005496-cnwg4dnn	130	7	and	and	CC
cord-005496-cnwg4dnn	130	8	laboratory	laboratory	NN
cord-005496-cnwg4dnn	130	9	data	datum	NNS
cord-005496-cnwg4dnn	130	10	.	.	.
cord-005496-cnwg4dnn	131	1	These	these	DT
cord-005496-cnwg4dnn	131	2	models	model	NNS
cord-005496-cnwg4dnn	131	3	outperformed	outperform	VBD
cord-005496-cnwg4dnn	131	4	standard	standard	JJ
cord-005496-cnwg4dnn	131	5	scoring	scoring	NN
cord-005496-cnwg4dnn	131	6	systems	system	NNS
cord-005496-cnwg4dnn	131	7	,	,	,
cord-005496-cnwg4dnn	131	8	such	such	JJ
cord-005496-cnwg4dnn	131	9	as	as	IN
cord-005496-cnwg4dnn	131	10	APACHE	APACHE	NNP
cord-005496-cnwg4dnn	131	11	-	-	HYPH
cord-005496-cnwg4dnn	131	12	II	II	NNP
cord-005496-cnwg4dnn	131	13	,	,	,
cord-005496-cnwg4dnn	131	14	sequential	sequential	JJ
cord-005496-cnwg4dnn	131	15	organ	organ	NN
cord-005496-cnwg4dnn	131	16	failure	failure	NN
cord-005496-cnwg4dnn	131	17	assessment	assessment	NN
cord-005496-cnwg4dnn	131	18	(	(	-LRB-
cord-005496-cnwg4dnn	131	19	SOFA	SOFA	NNP
cord-005496-cnwg4dnn	131	20	)	)	-RRB-
cord-005496-cnwg4dnn	131	21	,	,	,
cord-005496-cnwg4dnn	131	22	and	and	CC
cord-005496-cnwg4dnn	131	23	Simplified	Simplified	NNP
cord-005496-cnwg4dnn	131	24	Acute	Acute	NNP
cord-005496-cnwg4dnn	131	25	Physiology	Physiology	NNP
cord-005496-cnwg4dnn	131	26	Score	score	NN
cord-005496-cnwg4dnn	131	27	(	(	-LRB-
cord-005496-cnwg4dnn	131	28	SAPS	SAPS	NNP
cord-005496-cnwg4dnn	131	29	)	)	-RRB-
cord-005496-cnwg4dnn	131	30	,	,	,
cord-005496-cnwg4dnn	131	31	a	a	DT
cord-005496-cnwg4dnn	131	32	finding	finding	NN
cord-005496-cnwg4dnn	131	33	that	that	WDT
cord-005496-cnwg4dnn	131	34	was	be	VBD
cord-005496-cnwg4dnn	131	35	confirmed	confirm	VBN
cord-005496-cnwg4dnn	131	36	by	by	IN
cord-005496-cnwg4dnn	131	37	the	the	DT
cord-005496-cnwg4dnn	131	38	same	same	JJ
cord-005496-cnwg4dnn	131	39	group	group	NN
cord-005496-cnwg4dnn	131	40	in	in	IN
cord-005496-cnwg4dnn	131	41	a	a	DT
cord-005496-cnwg4dnn	131	42	follow	follow	VB
cord-005496-cnwg4dnn	131	43	-	-	HYPH
cord-005496-cnwg4dnn	131	44	up	up	NN
cord-005496-cnwg4dnn	131	45	study	study	NN
cord-005496-cnwg4dnn	131	46	using	use	VBG
cord-005496-cnwg4dnn	131	47	time	time	NN
cord-005496-cnwg4dnn	131	48	-	-	HYPH
cord-005496-cnwg4dnn	131	49	series	series	NN
cord-005496-cnwg4dnn	131	50	analysis	analysis	NN
cord-005496-cnwg4dnn	131	51	[	[	-LRB-
cord-005496-cnwg4dnn	131	52	23	23	CD
cord-005496-cnwg4dnn	131	53	]	]	-RRB-
cord-005496-cnwg4dnn	131	54	.	.	.
cord-005496-cnwg4dnn	132	1	A	a	DT
cord-005496-cnwg4dnn	132	2	Swedish	swedish	JJ
cord-005496-cnwg4dnn	132	3	system	system	NN
cord-005496-cnwg4dnn	132	4	using	use	VBG
cord-005496-cnwg4dnn	132	5	artificial	artificial	JJ
cord-005496-cnwg4dnn	132	6	neural	neural	JJ
cord-005496-cnwg4dnn	132	7	networks	network	NNS
cord-005496-cnwg4dnn	132	8	applied	apply	VBN
cord-005496-cnwg4dnn	132	9	to	to	IN
cord-005496-cnwg4dnn	132	10	>	>	$
cord-005496-cnwg4dnn	132	11	200,000	200,000	CD
cord-005496-cnwg4dnn	132	12	first	first	JJ
cord-005496-cnwg4dnn	132	13	-	-	HYPH
cord-005496-cnwg4dnn	132	14	time	time	NN
cord-005496-cnwg4dnn	132	15	ICU	ICU	NNP
cord-005496-cnwg4dnn	132	16	admissions	admission	NNS
cord-005496-cnwg4dnn	132	17	also	also	RB
cord-005496-cnwg4dnn	132	18	showed	show	VBD
cord-005496-cnwg4dnn	132	19	superior	superior	JJ
cord-005496-cnwg4dnn	132	20	performance	performance	NN
cord-005496-cnwg4dnn	132	21	in	in	IN
cord-005496-cnwg4dnn	132	22	predicting	predict	VBG
cord-005496-cnwg4dnn	132	23	the	the	DT
cord-005496-cnwg4dnn	132	24	risk	risk	NN
cord-005496-cnwg4dnn	132	25	of	of	IN
cord-005496-cnwg4dnn	132	26	dying	die	VBG
cord-005496-cnwg4dnn	132	27	when	when	WRB
cord-005496-cnwg4dnn	132	28	compared	compare	VBN
cord-005496-cnwg4dnn	132	29	to	to	IN
cord-005496-cnwg4dnn	132	30	SAPS-3	SAPS-3	NNP
cord-005496-cnwg4dnn	132	31	[	[	-LRB-
cord-005496-cnwg4dnn	132	32	24	24	CD
cord-005496-cnwg4dnn	132	33	]	]	-RRB-
cord-005496-cnwg4dnn	132	34	.	.	.
cord-005496-cnwg4dnn	133	1	Machine	machine	NN
cord-005496-cnwg4dnn	133	2	learning	learning	NN
cord-005496-cnwg4dnn	133	3	models	model	NNS
cord-005496-cnwg4dnn	133	4	have	have	VBP
cord-005496-cnwg4dnn	133	5	also	also	RB
cord-005496-cnwg4dnn	133	6	been	be	VBN
cord-005496-cnwg4dnn	133	7	proposed	propose	VBN
cord-005496-cnwg4dnn	133	8	to	to	TO
cord-005496-cnwg4dnn	133	9	predict	predict	VB
cord-005496-cnwg4dnn	133	10	mortality	mortality	NN
cord-005496-cnwg4dnn	133	11	in	in	IN
cord-005496-cnwg4dnn	133	12	trauma	trauma	NN
cord-005496-cnwg4dnn	133	13	[	[	-LRB-
cord-005496-cnwg4dnn	133	14	25	25	CD
cord-005496-cnwg4dnn	133	15	]	]	-RRB-
cord-005496-cnwg4dnn	133	16	and	and	CC
cord-005496-cnwg4dnn	133	17	pediatric	pediatric	JJ
cord-005496-cnwg4dnn	133	18	ICU	ICU	NNP
cord-005496-cnwg4dnn	133	19	patients	patient	NNS
cord-005496-cnwg4dnn	133	20	[	[	-LRB-
cord-005496-cnwg4dnn	133	21	26	26	CD
cord-005496-cnwg4dnn	133	22	]	]	-RRB-
cord-005496-cnwg4dnn	133	23	.	.	.
cord-005496-cnwg4dnn	134	1	The	the	DT
cord-005496-cnwg4dnn	134	2	abovementioned	abovementioned	JJ
cord-005496-cnwg4dnn	134	3	ICU	ICU	NNP
cord-005496-cnwg4dnn	134	4	survival	survival	NN
cord-005496-cnwg4dnn	134	5	models	model	NNS
cord-005496-cnwg4dnn	134	6	,	,	,
cord-005496-cnwg4dnn	134	7	while	while	IN
cord-005496-cnwg4dnn	134	8	offering	offer	VBG
cord-005496-cnwg4dnn	134	9	improved	improved	JJ
cord-005496-cnwg4dnn	134	10	performance	performance	NN
cord-005496-cnwg4dnn	134	11	when	when	WRB
cord-005496-cnwg4dnn	134	12	compared	compare	VBN
cord-005496-cnwg4dnn	134	13	to	to	IN
cord-005496-cnwg4dnn	134	14	standard	standard	JJ
cord-005496-cnwg4dnn	134	15	mortality	mortality	NN
cord-005496-cnwg4dnn	134	16	prediction	prediction	NN
cord-005496-cnwg4dnn	134	17	scoring	score	VBG
cord-005496-cnwg4dnn	134	18	systems	system	NNS
cord-005496-cnwg4dnn	134	19	,	,	,
cord-005496-cnwg4dnn	134	20	are	be	VBP
cord-005496-cnwg4dnn	134	21	somewhat	somewhat	RB
cord-005496-cnwg4dnn	134	22	cumbersome	cumbersome	JJ
cord-005496-cnwg4dnn	134	23	to	to	TO
cord-005496-cnwg4dnn	134	24	use	use	VB
cord-005496-cnwg4dnn	134	25	,	,	,
cord-005496-cnwg4dnn	134	26	require	require	VB
cord-005496-cnwg4dnn	134	27	a	a	DT
cord-005496-cnwg4dnn	134	28	large	large	JJ
cord-005496-cnwg4dnn	134	29	number	number	NN
cord-005496-cnwg4dnn	134	30	of	of	IN
cord-005496-cnwg4dnn	134	31	variables	variable	NNS
cord-005496-cnwg4dnn	134	32	and	and	CC
cord-005496-cnwg4dnn	134	33	have	have	VBP
cord-005496-cnwg4dnn	134	34	yet	yet	RB
cord-005496-cnwg4dnn	134	35	to	to	TO
cord-005496-cnwg4dnn	134	36	be	be	VB
cord-005496-cnwg4dnn	134	37	tested	test	VBN
cord-005496-cnwg4dnn	134	38	prospectively	prospectively	RB
cord-005496-cnwg4dnn	134	39	.	.	.
cord-005496-cnwg4dnn	135	1	Yoon	Yoon	NNP
cord-005496-cnwg4dnn	135	2	et	et	NNP
cord-005496-cnwg4dnn	135	3	al	al	NNP
cord-005496-cnwg4dnn	135	4	.	.	.
cord-005496-cnwg4dnn	136	1	[	[	-LRB-
cord-005496-cnwg4dnn	136	2	27	27	CD
cord-005496-cnwg4dnn	136	3	]	]	-RRB-
cord-005496-cnwg4dnn	136	4	developed	develop	VBD
cord-005496-cnwg4dnn	136	5	a	a	DT
cord-005496-cnwg4dnn	136	6	method	method	NN
cord-005496-cnwg4dnn	136	7	to	to	TO
cord-005496-cnwg4dnn	136	8	predict	predict	VB
cord-005496-cnwg4dnn	136	9	instability	instability	NN
cord-005496-cnwg4dnn	136	10	in	in	IN
cord-005496-cnwg4dnn	136	11	the	the	DT
cord-005496-cnwg4dnn	136	12	ICU	ICU	NNP
cord-005496-cnwg4dnn	136	13	based	base	VBN
cord-005496-cnwg4dnn	136	14	on	on	IN
cord-005496-cnwg4dnn	136	15	logistic	logistic	JJ
cord-005496-cnwg4dnn	136	16	regression	regression	NN
cord-005496-cnwg4dnn	136	17	and	and	CC
cord-005496-cnwg4dnn	136	18	random	random	JJ
cord-005496-cnwg4dnn	136	19	forest	forest	NN
cord-005496-cnwg4dnn	136	20	models	model	NNS
cord-005496-cnwg4dnn	136	21	of	of	IN
cord-005496-cnwg4dnn	136	22	electrocardiogram	electrocardiogram	NN
cord-005496-cnwg4dnn	136	23	(	(	-LRB-
cord-005496-cnwg4dnn	136	24	EKG	EKG	NNP
cord-005496-cnwg4dnn	136	25	)	)	-RRB-
cord-005496-cnwg4dnn	136	26	measures	measure	NNS
cord-005496-cnwg4dnn	136	27	of	of	IN
cord-005496-cnwg4dnn	136	28	tachycardia	tachycardia	NN
cord-005496-cnwg4dnn	136	29	,	,	,
cord-005496-cnwg4dnn	136	30	reporting	report	VBG
cord-005496-cnwg4dnn	136	31	an	an	DT
cord-005496-cnwg4dnn	136	32	accuracy	accuracy	NN
cord-005496-cnwg4dnn	136	33	of	of	IN
cord-005496-cnwg4dnn	136	34	0.81	0.81	CD
cord-005496-cnwg4dnn	136	35	and	and	CC
cord-005496-cnwg4dnn	136	36	AUC	AUC	NNP
cord-005496-cnwg4dnn	136	37	of	of	IN
cord-005496-cnwg4dnn	136	38	0.87	0.87	CD
cord-005496-cnwg4dnn	136	39	.	.	.
cord-005496-cnwg4dnn	137	1	The	the	DT
cord-005496-cnwg4dnn	137	2	publication	publication	NN
cord-005496-cnwg4dnn	137	3	of	of	IN
cord-005496-cnwg4dnn	137	4	the	the	DT
cord-005496-cnwg4dnn	137	5	study	study	NN
cord-005496-cnwg4dnn	137	6	is	be	VBZ
cord-005496-cnwg4dnn	137	7	accompanied	accompany	VBN
cord-005496-cnwg4dnn	137	8	by	by	IN
cord-005496-cnwg4dnn	137	9	an	an	DT
cord-005496-cnwg4dnn	137	10	excellent	excellent	JJ
cord-005496-cnwg4dnn	137	11	and	and	CC
cord-005496-cnwg4dnn	137	12	highly	highly	RB
cord-005496-cnwg4dnn	137	13	recommended	recommend	VBN
cord-005496-cnwg4dnn	137	14	editorial	editorial	NN
cord-005496-cnwg4dnn	137	15	by	by	IN
cord-005496-cnwg4dnn	137	16	Vistisen	Vistisen	NNP
cord-005496-cnwg4dnn	137	17	et	et	NNP
cord-005496-cnwg4dnn	137	18	al	al	NNP
cord-005496-cnwg4dnn	137	19	.	.	.
cord-005496-cnwg4dnn	138	1	[	[	-LRB-
cord-005496-cnwg4dnn	138	2	28	28	CD
cord-005496-cnwg4dnn	138	3	]	]	-RRB-
cord-005496-cnwg4dnn	138	4	that	that	WDT
cord-005496-cnwg4dnn	138	5	thoroughly	thoroughly	RB
cord-005496-cnwg4dnn	138	6	analyzes	analyze	VBZ
cord-005496-cnwg4dnn	138	7	the	the	DT
cord-005496-cnwg4dnn	138	8	strengths	strength	NNS
cord-005496-cnwg4dnn	138	9	and	and	CC
cord-005496-cnwg4dnn	138	10	pitfalls	pitfall	NNS
cord-005496-cnwg4dnn	138	11	of	of	IN
cord-005496-cnwg4dnn	138	12	machine	machine	NN
cord-005496-cnwg4dnn	138	13	learning	learning	NN
cord-005496-cnwg4dnn	138	14	methods	method	NNS
cord-005496-cnwg4dnn	138	15	as	as	IN
cord-005496-cnwg4dnn	138	16	predictors	predictor	NNS
cord-005496-cnwg4dnn	138	17	of	of	IN
cord-005496-cnwg4dnn	138	18	complications	complication	NNS
cord-005496-cnwg4dnn	138	19	in	in	IN
cord-005496-cnwg4dnn	138	20	the	the	DT
cord-005496-cnwg4dnn	138	21	ICU	ICU	NNP
cord-005496-cnwg4dnn	138	22	.	.	.
cord-005496-cnwg4dnn	139	1	A	a	DT
cord-005496-cnwg4dnn	139	2	recent	recent	JJ
cord-005496-cnwg4dnn	139	3	study	study	NN
cord-005496-cnwg4dnn	139	4	applied	apply	VBD
cord-005496-cnwg4dnn	139	5	a	a	DT
cord-005496-cnwg4dnn	139	6	random	random	JJ
cord-005496-cnwg4dnn	139	7	forest	forest	NN
cord-005496-cnwg4dnn	139	8	classifier	classifier	NN
cord-005496-cnwg4dnn	139	9	to	to	IN
cord-005496-cnwg4dnn	139	10	over	over	IN
cord-005496-cnwg4dnn	139	11	200,000	200,000	CD
cord-005496-cnwg4dnn	139	12	electronic	electronic	JJ
cord-005496-cnwg4dnn	139	13	health	health	NN
cord-005496-cnwg4dnn	139	14	records	record	NNS
cord-005496-cnwg4dnn	139	15	of	of	IN
cord-005496-cnwg4dnn	139	16	hospitalized	hospitalize	VBN
cord-005496-cnwg4dnn	139	17	patients	patient	NNS
cord-005496-cnwg4dnn	139	18	to	to	TO
cord-005496-cnwg4dnn	139	19	predict	predict	VB
cord-005496-cnwg4dnn	139	20	the	the	DT
cord-005496-cnwg4dnn	139	21	occurrence	occurrence	NN
cord-005496-cnwg4dnn	139	22	of	of	IN
cord-005496-cnwg4dnn	139	23	sepsis	sepsis	NN
cord-005496-cnwg4dnn	139	24	and	and	CC
cord-005496-cnwg4dnn	139	25	septic	septic	JJ
cord-005496-cnwg4dnn	139	26	shock	shock	NN
cord-005496-cnwg4dnn	139	27	.	.	.
cord-005496-cnwg4dnn	140	1	Although	although	IN
cord-005496-cnwg4dnn	140	2	the	the	DT
cord-005496-cnwg4dnn	140	3	algorithm	algorithm	NN
cord-005496-cnwg4dnn	140	4	was	be	VBD
cord-005496-cnwg4dnn	140	5	highly	highly	RB
cord-005496-cnwg4dnn	140	6	specific	specific	JJ
cord-005496-cnwg4dnn	140	7	(	(	-LRB-
cord-005496-cnwg4dnn	140	8	98	98	CD
cord-005496-cnwg4dnn	140	9	%	%	NN
cord-005496-cnwg4dnn	140	10	)	)	-RRB-
cord-005496-cnwg4dnn	140	11	,	,	,
cord-005496-cnwg4dnn	140	12	it	-PRON-	PRP
cord-005496-cnwg4dnn	140	13	only	only	RB
cord-005496-cnwg4dnn	140	14	had	have	VBD
cord-005496-cnwg4dnn	140	15	a	a	DT
cord-005496-cnwg4dnn	140	16	sensitivity	sensitivity	NN
cord-005496-cnwg4dnn	140	17	of	of	IN
cord-005496-cnwg4dnn	140	18	26	26	CD
cord-005496-cnwg4dnn	140	19	%	%	NN
cord-005496-cnwg4dnn	140	20	,	,	,
cord-005496-cnwg4dnn	140	21	severely	severely	RB
cord-005496-cnwg4dnn	140	22	limiting	limit	VBG
cord-005496-cnwg4dnn	140	23	its	-PRON-	PRP$
cord-005496-cnwg4dnn	140	24	utility	utility	NN
cord-005496-cnwg4dnn	140	25	[	[	-LRB-
cord-005496-cnwg4dnn	140	26	29	29	CD
cord-005496-cnwg4dnn	140	27	]	]	-RRB-
cord-005496-cnwg4dnn	140	28	.	.	.
cord-005496-cnwg4dnn	141	1	Other	other	JJ
cord-005496-cnwg4dnn	141	2	studies	study	NNS
cord-005496-cnwg4dnn	141	3	have	have	VBP
cord-005496-cnwg4dnn	141	4	been	be	VBN
cord-005496-cnwg4dnn	141	5	published	publish	VBN
cord-005496-cnwg4dnn	141	6	describing	describe	VBG
cord-005496-cnwg4dnn	141	7	the	the	DT
cord-005496-cnwg4dnn	141	8	use	use	NN
cord-005496-cnwg4dnn	141	9	of	of	IN
cord-005496-cnwg4dnn	141	10	machine	machine	NN
cord-005496-cnwg4dnn	141	11	learning	learning	NN
cord-005496-cnwg4dnn	141	12	models	model	NNS
cord-005496-cnwg4dnn	141	13	in	in	IN
cord-005496-cnwg4dnn	141	14	generating	generate	VBG
cord-005496-cnwg4dnn	141	15	patient	patient	JJ
cord-005496-cnwg4dnn	141	16	-	-	HYPH
cord-005496-cnwg4dnn	141	17	specific	specific	JJ
cord-005496-cnwg4dnn	141	18	risk	risk	NN
cord-005496-cnwg4dnn	141	19	scores	score	NNS
cord-005496-cnwg4dnn	141	20	for	for	IN
cord-005496-cnwg4dnn	141	21	pulmonary	pulmonary	JJ
cord-005496-cnwg4dnn	141	22	emboli	embolus	NNS
cord-005496-cnwg4dnn	141	23	[	[	-LRB-
cord-005496-cnwg4dnn	141	24	30	30	CD
cord-005496-cnwg4dnn	141	25	]	]	-RRB-
cord-005496-cnwg4dnn	141	26	,	,	,
cord-005496-cnwg4dnn	141	27	risk	risk	NN
cord-005496-cnwg4dnn	141	28	stratification	stratification	NN
cord-005496-cnwg4dnn	141	29	of	of	IN
cord-005496-cnwg4dnn	141	30	ARDS	ARDS	NNP
cord-005496-cnwg4dnn	141	31	[	[	-LRB-
cord-005496-cnwg4dnn	141	32	31	31	CD
cord-005496-cnwg4dnn	141	33	]	]	-RRB-
cord-005496-cnwg4dnn	141	34	,	,	,
cord-005496-cnwg4dnn	141	35	prediction	prediction	NN
cord-005496-cnwg4dnn	141	36	of	of	IN
cord-005496-cnwg4dnn	141	37	acute	acute	JJ
cord-005496-cnwg4dnn	141	38	kidney	kidney	NN
cord-005496-cnwg4dnn	141	39	injury	injury	NN
cord-005496-cnwg4dnn	141	40	in	in	IN
cord-005496-cnwg4dnn	141	41	severely	severely	RB
cord-005496-cnwg4dnn	141	42	burned	burn	VBN
cord-005496-cnwg4dnn	141	43	patients	patient	NNS
cord-005496-cnwg4dnn	141	44	[	[	-LRB-
cord-005496-cnwg4dnn	141	45	32	32	CD
cord-005496-cnwg4dnn	141	46	]	]	-RRB-
cord-005496-cnwg4dnn	141	47	and	and	CC
cord-005496-cnwg4dnn	141	48	in	in	IN
cord-005496-cnwg4dnn	141	49	general	general	JJ
cord-005496-cnwg4dnn	141	50	ICU	ICU	NNP
cord-005496-cnwg4dnn	141	51	populations	population	NNS
cord-005496-cnwg4dnn	141	52	[	[	-LRB-
cord-005496-cnwg4dnn	141	53	33	33	CD
cord-005496-cnwg4dnn	141	54	]	]	-RRB-
cord-005496-cnwg4dnn	141	55	,	,	,
cord-005496-cnwg4dnn	141	56	prediction	prediction	NN
cord-005496-cnwg4dnn	141	57	of	of	IN
cord-005496-cnwg4dnn	141	58	volume	volume	NN
cord-005496-cnwg4dnn	141	59	responsiveness	responsiveness	NN
cord-005496-cnwg4dnn	141	60	after	after	IN
cord-005496-cnwg4dnn	141	61	fluid	fluid	JJ
cord-005496-cnwg4dnn	141	62	administration	administration	NN
cord-005496-cnwg4dnn	141	63	[	[	-LRB-
cord-005496-cnwg4dnn	141	64	34	34	CD
cord-005496-cnwg4dnn	141	65	]	]	-RRB-
cord-005496-cnwg4dnn	141	66	and	and	CC
cord-005496-cnwg4dnn	141	67	identification	identification	NN
cord-005496-cnwg4dnn	141	68	of	of	IN
cord-005496-cnwg4dnn	141	69	patients	patient	NNS
cord-005496-cnwg4dnn	141	70	likely	likely	JJ
cord-005496-cnwg4dnn	141	71	to	to	TO
cord-005496-cnwg4dnn	141	72	develop	develop	VB
cord-005496-cnwg4dnn	141	73	complicated	complicated	JJ
cord-005496-cnwg4dnn	141	74	Clostridium	clostridium	NN
cord-005496-cnwg4dnn	141	75	difficile	difficile	NN
cord-005496-cnwg4dnn	141	76	infection	infection	NN
cord-005496-cnwg4dnn	141	77	[	[	-LRB-
cord-005496-cnwg4dnn	141	78	35	35	CD
cord-005496-cnwg4dnn	141	79	]	]	-RRB-
cord-005496-cnwg4dnn	141	80	.	.	.
cord-005496-cnwg4dnn	142	1	Whereas	whereas	IN
cord-005496-cnwg4dnn	142	2	present	present	JJ
cord-005496-cnwg4dnn	142	3	day	day	NN
cord-005496-cnwg4dnn	142	4	mechanical	mechanical	JJ
cord-005496-cnwg4dnn	142	5	ventilators	ventilator	NNS
cord-005496-cnwg4dnn	142	6	work	work	VBP
cord-005496-cnwg4dnn	142	7	exceedingly	exceedingly	RB
cord-005496-cnwg4dnn	142	8	well	well	RB
cord-005496-cnwg4dnn	142	9	in	in	IN
cord-005496-cnwg4dnn	142	10	delivering	deliver	VBG
cord-005496-cnwg4dnn	142	11	air	air	NN
cord-005496-cnwg4dnn	142	12	to	to	IN
cord-005496-cnwg4dnn	142	13	diseased	diseased	JJ
cord-005496-cnwg4dnn	142	14	lungs	lung	NNS
cord-005496-cnwg4dnn	142	15	,	,	,
cord-005496-cnwg4dnn	142	16	they	-PRON-	PRP
cord-005496-cnwg4dnn	142	17	are	be	VBP
cord-005496-cnwg4dnn	142	18	"	"	``
cord-005496-cnwg4dnn	142	19	feed	feed	NN
cord-005496-cnwg4dnn	142	20	-	-	HYPH
cord-005496-cnwg4dnn	142	21	forward	forward	NN
cord-005496-cnwg4dnn	142	22	"	"	''
cord-005496-cnwg4dnn	142	23	or	or	CC
cord-005496-cnwg4dnn	142	24	open	open	JJ
cord-005496-cnwg4dnn	142	25	loop	loop	NN
cord-005496-cnwg4dnn	142	26	systems	system	NNS
cord-005496-cnwg4dnn	142	27	where	where	WRB
cord-005496-cnwg4dnn	142	28	the	the	DT
cord-005496-cnwg4dnn	142	29	input	input	NN
cord-005496-cnwg4dnn	142	30	signal	signal	NN
cord-005496-cnwg4dnn	142	31	,	,	,
cord-005496-cnwg4dnn	142	32	or	or	CC
cord-005496-cnwg4dnn	142	33	mode	mode	NN
cord-005496-cnwg4dnn	142	34	of	of	IN
cord-005496-cnwg4dnn	142	35	ventilation	ventilation	NN
cord-005496-cnwg4dnn	142	36	,	,	,
cord-005496-cnwg4dnn	142	37	is	be	VBZ
cord-005496-cnwg4dnn	142	38	largely	largely	RB
cord-005496-cnwg4dnn	142	39	unaffected	unaffected	JJ
cord-005496-cnwg4dnn	142	40	by	by	IN
cord-005496-cnwg4dnn	142	41	its	-PRON-	PRP$
cord-005496-cnwg4dnn	142	42	output	output	NN
cord-005496-cnwg4dnn	142	43	,	,	,
cord-005496-cnwg4dnn	142	44	the	the	DT
cord-005496-cnwg4dnn	142	45	adequacy	adequacy	NN
cord-005496-cnwg4dnn	142	46	of	of	IN
cord-005496-cnwg4dnn	142	47	ventilation	ventilation	NN
cord-005496-cnwg4dnn	142	48	.	.	.
cord-005496-cnwg4dnn	143	1	As	as	IN
cord-005496-cnwg4dnn	143	2	such	such	JJ
cord-005496-cnwg4dnn	143	3	,	,	,
cord-005496-cnwg4dnn	143	4	ventilators	ventilator	NNS
cord-005496-cnwg4dnn	143	5	lack	lack	VBP
cord-005496-cnwg4dnn	143	6	the	the	DT
cord-005496-cnwg4dnn	143	7	capacity	capacity	NN
cord-005496-cnwg4dnn	143	8	to	to	TO
cord-005496-cnwg4dnn	143	9	assess	assess	VB
cord-005496-cnwg4dnn	143	10	the	the	DT
cord-005496-cnwg4dnn	143	11	patient	patient	NN
cord-005496-cnwg4dnn	143	12	's	's	POS
cord-005496-cnwg4dnn	143	13	response	response	NN
cord-005496-cnwg4dnn	143	14	to	to	IN
cord-005496-cnwg4dnn	143	15	the	the	DT
cord-005496-cnwg4dnn	143	16	delivered	deliver	VBN
cord-005496-cnwg4dnn	143	17	breath	breath	NN
cord-005496-cnwg4dnn	143	18	.	.	.
cord-005496-cnwg4dnn	144	1	A	a	DT
cord-005496-cnwg4dnn	144	2	desirable	desirable	JJ
cord-005496-cnwg4dnn	144	3	solution	solution	NN
cord-005496-cnwg4dnn	144	4	is	be	VBZ
cord-005496-cnwg4dnn	144	5	the	the	DT
cord-005496-cnwg4dnn	144	6	development	development	NN
cord-005496-cnwg4dnn	144	7	of	of	IN
cord-005496-cnwg4dnn	144	8	the	the	DT
cord-005496-cnwg4dnn	144	9	autonomous	autonomous	JJ
cord-005496-cnwg4dnn	144	10	ventilator	ventilator	NN
cord-005496-cnwg4dnn	144	11	,	,	,
cord-005496-cnwg4dnn	144	12	a	a	DT
cord-005496-cnwg4dnn	144	13	device	device	NN
cord-005496-cnwg4dnn	144	14	that	that	WDT
cord-005496-cnwg4dnn	144	15	could	could	MD
cord-005496-cnwg4dnn	144	16	monitor	monitor	VB
cord-005496-cnwg4dnn	144	17	the	the	DT
cord-005496-cnwg4dnn	144	18	patient	patient	NN
cord-005496-cnwg4dnn	144	19	's	's	POS
cord-005496-cnwg4dnn	144	20	response	response	NN
cord-005496-cnwg4dnn	144	21	to	to	IN
cord-005496-cnwg4dnn	144	22	ventilation	ventilation	NN
cord-005496-cnwg4dnn	144	23	continuously	continuously	RB
cord-005496-cnwg4dnn	144	24	,	,	,
cord-005496-cnwg4dnn	144	25	while	while	IN
cord-005496-cnwg4dnn	144	26	adjusting	adjust	VBG
cord-005496-cnwg4dnn	144	27	ventilatory	ventilatory	JJ
cord-005496-cnwg4dnn	144	28	parameters	parameter	NNS
cord-005496-cnwg4dnn	144	29	to	to	TO
cord-005496-cnwg4dnn	144	30	provide	provide	VB
cord-005496-cnwg4dnn	144	31	the	the	DT
cord-005496-cnwg4dnn	144	32	patient	patient	NN
cord-005496-cnwg4dnn	144	33	with	with	IN
cord-005496-cnwg4dnn	144	34	a	a	DT
cord-005496-cnwg4dnn	144	35	comfortable	comfortable	JJ
cord-005496-cnwg4dnn	144	36	,	,	,
cord-005496-cnwg4dnn	144	37	optimally	optimally	RB
cord-005496-cnwg4dnn	144	38	delivered	deliver	VBN
cord-005496-cnwg4dnn	144	39	breath	breath	NN
cord-005496-cnwg4dnn	144	40	.	.	.
cord-005496-cnwg4dnn	145	1	Although	although	IN
cord-005496-cnwg4dnn	145	2	we	-PRON-	PRP
cord-005496-cnwg4dnn	145	3	are	be	VBP
cord-005496-cnwg4dnn	145	4	far	far	RB
cord-005496-cnwg4dnn	145	5	from	from	IN
cord-005496-cnwg4dnn	145	6	this	this	DT
cord-005496-cnwg4dnn	145	7	ideal	ideal	JJ
cord-005496-cnwg4dnn	145	8	device	device	NN
cord-005496-cnwg4dnn	145	9	,	,	,
cord-005496-cnwg4dnn	145	10	significant	significant	JJ
cord-005496-cnwg4dnn	145	11	strides	stride	NNS
cord-005496-cnwg4dnn	145	12	are	be	VBP
cord-005496-cnwg4dnn	145	13	being	be	VBG
cord-005496-cnwg4dnn	145	14	made	make	VBN
cord-005496-cnwg4dnn	145	15	toward	toward	IN
cord-005496-cnwg4dnn	145	16	making	make	VBG
cord-005496-cnwg4dnn	145	17	it	-PRON-	PRP
cord-005496-cnwg4dnn	145	18	into	into	IN
cord-005496-cnwg4dnn	145	19	a	a	DT
cord-005496-cnwg4dnn	145	20	reality	reality	NN
cord-005496-cnwg4dnn	145	21	.	.	.
cord-005496-cnwg4dnn	146	1	Over	over	IN
cord-005496-cnwg4dnn	146	2	the	the	DT
cord-005496-cnwg4dnn	146	3	past	past	JJ
cord-005496-cnwg4dnn	146	4	decade	decade	NN
cord-005496-cnwg4dnn	146	5	,	,	,
cord-005496-cnwg4dnn	146	6	there	there	EX
cord-005496-cnwg4dnn	146	7	has	have	VBZ
cord-005496-cnwg4dnn	146	8	been	be	VBN
cord-005496-cnwg4dnn	146	9	considerable	considerable	JJ
cord-005496-cnwg4dnn	146	10	interest	interest	NN
cord-005496-cnwg4dnn	146	11	in	in	IN
cord-005496-cnwg4dnn	146	12	detecting	detect	VBG
cord-005496-cnwg4dnn	146	13	and	and	CC
cord-005496-cnwg4dnn	146	14	classifying	classify	VBG
cord-005496-cnwg4dnn	146	15	patient	patient	NN
cord-005496-cnwg4dnn	146	16	-	-	HYPH
cord-005496-cnwg4dnn	146	17	ventilator	ventilator	NN
cord-005496-cnwg4dnn	146	18	asynchrony	asynchrony	NN
cord-005496-cnwg4dnn	146	19	,	,	,
cord-005496-cnwg4dnn	146	20	a	a	DT
cord-005496-cnwg4dnn	146	21	phenomenon	phenomenon	NN
cord-005496-cnwg4dnn	146	22	indicating	indicate	VBG
cord-005496-cnwg4dnn	146	23	the	the	DT
cord-005496-cnwg4dnn	146	24	degree	degree	NN
cord-005496-cnwg4dnn	146	25	of	of	IN
cord-005496-cnwg4dnn	146	26	coupling	coupling	NN
cord-005496-cnwg4dnn	146	27	or	or	CC
cord-005496-cnwg4dnn	146	28	response	response	NN
cord-005496-cnwg4dnn	146	29	of	of	IN
cord-005496-cnwg4dnn	146	30	the	the	DT
cord-005496-cnwg4dnn	146	31	patient	patient	NN
cord-005496-cnwg4dnn	146	32	to	to	IN
cord-005496-cnwg4dnn	146	33	ventilatory	ventilatory	JJ
cord-005496-cnwg4dnn	146	34	support	support	NN
cord-005496-cnwg4dnn	146	35	[	[	-LRB-
cord-005496-cnwg4dnn	146	36	36	36	CD
cord-005496-cnwg4dnn	146	37	]	]	-RRB-
cord-005496-cnwg4dnn	146	38	.	.	.
cord-005496-cnwg4dnn	147	1	Machine	machine	NN
cord-005496-cnwg4dnn	147	2	learning	learning	NN
cord-005496-cnwg4dnn	147	3	methods	method	NNS
cord-005496-cnwg4dnn	147	4	of	of	IN
cord-005496-cnwg4dnn	147	5	detecting	detect	VBG
cord-005496-cnwg4dnn	147	6	patient	patient	NN
cord-005496-cnwg4dnn	147	7	-	-	HYPH
cord-005496-cnwg4dnn	147	8	ventilator	ventilator	NN
cord-005496-cnwg4dnn	147	9	asynchrony	asynchrony	NN
cord-005496-cnwg4dnn	147	10	have	have	VBP
cord-005496-cnwg4dnn	147	11	been	be	VBN
cord-005496-cnwg4dnn	147	12	based	base	VBN
cord-005496-cnwg4dnn	147	13	on	on	IN
cord-005496-cnwg4dnn	147	14	morphological	morphological	JJ
cord-005496-cnwg4dnn	147	15	changes	change	NNS
cord-005496-cnwg4dnn	147	16	of	of	IN
cord-005496-cnwg4dnn	147	17	the	the	DT
cord-005496-cnwg4dnn	147	18	pressure	pressure	NN
cord-005496-cnwg4dnn	147	19	and	and	CC
cord-005496-cnwg4dnn	147	20	flow	flow	NN
cord-005496-cnwg4dnn	147	21	signals	signal	NNS
cord-005496-cnwg4dnn	147	22	.	.	.
cord-005496-cnwg4dnn	148	1	Chen	Chen	NNP
cord-005496-cnwg4dnn	148	2	et	et	NNP
cord-005496-cnwg4dnn	148	3	al	al	NNP
cord-005496-cnwg4dnn	148	4	.	.	.
cord-005496-cnwg4dnn	149	1	[	[	-LRB-
cord-005496-cnwg4dnn	149	2	37	37	CD
cord-005496-cnwg4dnn	149	3	]	]	-RRB-
cord-005496-cnwg4dnn	149	4	developed	develop	VBD
cord-005496-cnwg4dnn	149	5	an	an	DT
cord-005496-cnwg4dnn	149	6	algorithm	algorithm	NN
cord-005496-cnwg4dnn	149	7	to	to	TO
cord-005496-cnwg4dnn	149	8	identify	identify	VB
cord-005496-cnwg4dnn	149	9	ineffective	ineffective	JJ
cord-005496-cnwg4dnn	149	10	efforts	effort	NNS
cord-005496-cnwg4dnn	149	11	from	from	IN
cord-005496-cnwg4dnn	149	12	the	the	DT
cord-005496-cnwg4dnn	149	13	maximum	maximum	JJ
cord-005496-cnwg4dnn	149	14	deflection	deflection	NN
cord-005496-cnwg4dnn	149	15	of	of	IN
cord-005496-cnwg4dnn	149	16	the	the	DT
cord-005496-cnwg4dnn	149	17	expiratory	expiratory	JJ
cord-005496-cnwg4dnn	149	18	portion	portion	NN
cord-005496-cnwg4dnn	149	19	of	of	IN
cord-005496-cnwg4dnn	149	20	airway	airway	NN
cord-005496-cnwg4dnn	149	21	pressure	pressure	NN
cord-005496-cnwg4dnn	149	22	and	and	CC
cord-005496-cnwg4dnn	149	23	flow	flow	NN
cord-005496-cnwg4dnn	149	24	.	.	.
cord-005496-cnwg4dnn	150	1	Ineffective	ineffective	JJ
cord-005496-cnwg4dnn	150	2	effort	effort	NN
cord-005496-cnwg4dnn	150	3	was	be	VBD
cord-005496-cnwg4dnn	150	4	present	present	JJ
cord-005496-cnwg4dnn	150	5	in	in	IN
cord-005496-cnwg4dnn	150	6	58	58	CD
cord-005496-cnwg4dnn	150	7	%	%	NN
cord-005496-cnwg4dnn	150	8	of	of	IN
cord-005496-cnwg4dnn	150	9	the	the	DT
cord-005496-cnwg4dnn	150	10	24	24	CD
cord-005496-cnwg4dnn	150	11	patients	patient	NNS
cord-005496-cnwg4dnn	150	12	enrolled	enrol	VBN
cord-005496-cnwg4dnn	150	13	in	in	IN
cord-005496-cnwg4dnn	150	14	their	-PRON-	PRP$
cord-005496-cnwg4dnn	150	15	study	study	NN
cord-005496-cnwg4dnn	150	16	.	.	.
cord-005496-cnwg4dnn	151	1	Analysis	analysis	NN
cord-005496-cnwg4dnn	151	2	of	of	IN
cord-005496-cnwg4dnn	151	3	5899	5899	CD
cord-005496-cnwg4dnn	151	4	breaths	breath	NNS
cord-005496-cnwg4dnn	151	5	yielded	yield	VBD
cord-005496-cnwg4dnn	151	6	sensitivity	sensitivity	NN
cord-005496-cnwg4dnn	151	7	and	and	CC
cord-005496-cnwg4dnn	151	8	specificity	specificity	NN
cord-005496-cnwg4dnn	151	9	for	for	IN
cord-005496-cnwg4dnn	151	10	the	the	DT
cord-005496-cnwg4dnn	151	11	detection	detection	NN
cord-005496-cnwg4dnn	151	12	of	of	IN
cord-005496-cnwg4dnn	151	13	ineffective	ineffective	JJ
cord-005496-cnwg4dnn	151	14	efforts	effort	NNS
cord-005496-cnwg4dnn	151	15	>	>	NFP
cord-005496-cnwg4dnn	151	16	90	90	CD
cord-005496-cnwg4dnn	151	17	%	%	NN
cord-005496-cnwg4dnn	151	18	.	.	.
cord-005496-cnwg4dnn	152	1	An	an	DT
cord-005496-cnwg4dnn	152	2	algorithm	algorithm	NN
cord-005496-cnwg4dnn	152	3	developed	develop	VBN
cord-005496-cnwg4dnn	152	4	by	by	IN
cord-005496-cnwg4dnn	152	5	Blanch	Blanch	NNP
cord-005496-cnwg4dnn	152	6	at	at	IN
cord-005496-cnwg4dnn	152	7	al	al	NNP
cord-005496-cnwg4dnn	152	8	[	[	-LRB-
cord-005496-cnwg4dnn	152	9	38	38	CD
cord-005496-cnwg4dnn	152	10	]	]	-RRB-
cord-005496-cnwg4dnn	152	11	.	.	.
cord-005496-cnwg4dnn	153	1	compared	compare	VBN
cord-005496-cnwg4dnn	153	2	a	a	DT
cord-005496-cnwg4dnn	153	3	theoretical	theoretical	JJ
cord-005496-cnwg4dnn	153	4	exponential	exponential	JJ
cord-005496-cnwg4dnn	153	5	expiratory	expiratory	JJ
cord-005496-cnwg4dnn	153	6	flow	flow	NN
cord-005496-cnwg4dnn	153	7	curve	curve	NN
cord-005496-cnwg4dnn	153	8	to	to	IN
cord-005496-cnwg4dnn	153	9	actual	actual	JJ
cord-005496-cnwg4dnn	153	10	flow	flow	NN
cord-005496-cnwg4dnn	153	11	tracings	tracing	NNS
cord-005496-cnwg4dnn	153	12	.	.	.
cord-005496-cnwg4dnn	154	1	A	a	DT
cord-005496-cnwg4dnn	154	2	deviation	deviation	NN
cord-005496-cnwg4dnn	154	3	exceeding	exceed	VBG
cord-005496-cnwg4dnn	154	4	42	42	CD
cord-005496-cnwg4dnn	154	5	%	%	NN
cord-005496-cnwg4dnn	154	6	was	be	VBD
cord-005496-cnwg4dnn	154	7	considered	consider	VBN
cord-005496-cnwg4dnn	154	8	indicative	indicative	JJ
cord-005496-cnwg4dnn	154	9	of	of	IN
cord-005496-cnwg4dnn	154	10	ineffective	ineffective	JJ
cord-005496-cnwg4dnn	154	11	effort	effort	NN
cord-005496-cnwg4dnn	154	12	.	.	.
cord-005496-cnwg4dnn	155	1	They	-PRON-	PRP
cord-005496-cnwg4dnn	155	2	compared	compare	VBD
cord-005496-cnwg4dnn	155	3	the	the	DT
cord-005496-cnwg4dnn	155	4	predictions	prediction	NNS
cord-005496-cnwg4dnn	155	5	of	of	IN
cord-005496-cnwg4dnn	155	6	the	the	DT
cord-005496-cnwg4dnn	155	7	algorithm	algorithm	NN
cord-005496-cnwg4dnn	155	8	in	in	IN
cord-005496-cnwg4dnn	155	9	a	a	DT
cord-005496-cnwg4dnn	155	10	random	random	JJ
cord-005496-cnwg4dnn	155	11	selection	selection	NN
cord-005496-cnwg4dnn	155	12	of	of	IN
cord-005496-cnwg4dnn	155	13	1024	1024	CD
cord-005496-cnwg4dnn	155	14	breaths	breath	NNS
cord-005496-cnwg4dnn	155	15	obtained	obtain	VBN
cord-005496-cnwg4dnn	155	16	from	from	IN
cord-005496-cnwg4dnn	155	17	16	16	CD
cord-005496-cnwg4dnn	155	18	patients	patient	NNS
cord-005496-cnwg4dnn	155	19	,	,	,
cord-005496-cnwg4dnn	155	20	to	to	IN
cord-005496-cnwg4dnn	155	21	those	those	DT
cord-005496-cnwg4dnn	155	22	made	make	VBN
cord-005496-cnwg4dnn	155	23	by	by	IN
cord-005496-cnwg4dnn	155	24	five	five	CD
cord-005496-cnwg4dnn	155	25	experts	expert	NNS
cord-005496-cnwg4dnn	155	26	and	and	CC
cord-005496-cnwg4dnn	155	27	reported	report	VBD
cord-005496-cnwg4dnn	155	28	91.5	91.5	CD
cord-005496-cnwg4dnn	155	29	%	%	NN
cord-005496-cnwg4dnn	155	30	sensitivity	sensitivity	NN
cord-005496-cnwg4dnn	155	31	and	and	CC
cord-005496-cnwg4dnn	155	32	91.7	91.7	CD
cord-005496-cnwg4dnn	155	33	%	%	NN
cord-005496-cnwg4dnn	155	34	specificity	specificity	NN
cord-005496-cnwg4dnn	155	35	with	with	IN
cord-005496-cnwg4dnn	155	36	80.3	80.3	CD
cord-005496-cnwg4dnn	155	37	%	%	NN
cord-005496-cnwg4dnn	155	38	predictive	predictive	JJ
cord-005496-cnwg4dnn	155	39	value	value	NN
cord-005496-cnwg4dnn	155	40	.	.	.
cord-005496-cnwg4dnn	156	1	As	as	IN
cord-005496-cnwg4dnn	156	2	proof	proof	NN
cord-005496-cnwg4dnn	156	3	-	-	HYPH
cord-005496-cnwg4dnn	156	4	of	of	IN
cord-005496-cnwg4dnn	156	5	-	-	HYPH
cord-005496-cnwg4dnn	156	6	concept	concept	NN
cord-005496-cnwg4dnn	156	7	,	,	,
cord-005496-cnwg4dnn	156	8	this	this	DT
cord-005496-cnwg4dnn	156	9	group	group	NN
cord-005496-cnwg4dnn	156	10	also	also	RB
cord-005496-cnwg4dnn	156	11	reported	report	VBD
cord-005496-cnwg4dnn	156	12	monitoring	monitor	VBG
cord-005496-cnwg4dnn	156	13	airway	airway	NN
cord-005496-cnwg4dnn	156	14	signals	signal	NNS
cord-005496-cnwg4dnn	156	15	in	in	IN
cord-005496-cnwg4dnn	156	16	51	51	CD
cord-005496-cnwg4dnn	156	17	mechanically	mechanically	RB
cord-005496-cnwg4dnn	156	18	ventilated	ventilate	VBN
cord-005496-cnwg4dnn	156	19	patients	patient	NNS
cord-005496-cnwg4dnn	156	20	and	and	CC
cord-005496-cnwg4dnn	156	21	were	be	VBD
cord-005496-cnwg4dnn	156	22	able	able	JJ
cord-005496-cnwg4dnn	156	23	to	to	TO
cord-005496-cnwg4dnn	156	24	predict	predict	VB
cord-005496-cnwg4dnn	156	25	the	the	DT
cord-005496-cnwg4dnn	156	26	probability	probability	NN
cord-005496-cnwg4dnn	156	27	of	of	IN
cord-005496-cnwg4dnn	156	28	an	an	DT
cord-005496-cnwg4dnn	156	29	asynchrony	asynchrony	NN
cord-005496-cnwg4dnn	156	30	occurring	occur	VBG
cord-005496-cnwg4dnn	156	31	from	from	IN
cord-005496-cnwg4dnn	156	32	one	one	CD
cord-005496-cnwg4dnn	156	33	breath	breath	NN
cord-005496-cnwg4dnn	156	34	period	period	NN
cord-005496-cnwg4dnn	156	35	to	to	IN
cord-005496-cnwg4dnn	156	36	the	the	DT
cord-005496-cnwg4dnn	156	37	next	next	JJ
cord-005496-cnwg4dnn	156	38	using	use	VBG
cord-005496-cnwg4dnn	156	39	a	a	DT
cord-005496-cnwg4dnn	156	40	hidden	hide	VBN
cord-005496-cnwg4dnn	156	41	Markov	Markov	NNP
cord-005496-cnwg4dnn	156	42	model	model	NN
cord-005496-cnwg4dnn	156	43	[	[	-LRB-
cord-005496-cnwg4dnn	156	44	39	39	CD
cord-005496-cnwg4dnn	156	45	]	]	-RRB-
cord-005496-cnwg4dnn	156	46	.	.	.
cord-005496-cnwg4dnn	157	1	The	the	DT
cord-005496-cnwg4dnn	157	2	system	system	NN
cord-005496-cnwg4dnn	157	3	used	use	VBN
cord-005496-cnwg4dnn	157	4	in	in	IN
cord-005496-cnwg4dnn	157	5	these	these	DT
cord-005496-cnwg4dnn	157	6	trials	trial	NNS
cord-005496-cnwg4dnn	157	7	has	have	VBZ
cord-005496-cnwg4dnn	157	8	been	be	VBN
cord-005496-cnwg4dnn	157	9	commercialized	commercialize	VBN
cord-005496-cnwg4dnn	157	10	as	as	IN
cord-005496-cnwg4dnn	157	11	Better	Better	NNP
cord-005496-cnwg4dnn	157	12	Care	Care	NNP
cord-005496-cnwg4dnn	157	13	®	®	,
cord-005496-cnwg4dnn	157	14	,	,	,
cord-005496-cnwg4dnn	157	15	and	and	CC
cord-005496-cnwg4dnn	157	16	it	-PRON-	PRP
cord-005496-cnwg4dnn	157	17	is	be	VBZ
cord-005496-cnwg4dnn	157	18	capable	capable	JJ
cord-005496-cnwg4dnn	157	19	of	of	IN
cord-005496-cnwg4dnn	157	20	acquiring	acquire	VBG
cord-005496-cnwg4dnn	157	21	,	,	,
cord-005496-cnwg4dnn	157	22	synchronizing	synchronize	VBG
cord-005496-cnwg4dnn	157	23	,	,	,
cord-005496-cnwg4dnn	157	24	recording	recording	NN
cord-005496-cnwg4dnn	157	25	,	,	,
cord-005496-cnwg4dnn	157	26	and	and	CC
cord-005496-cnwg4dnn	157	27	analyzing	analyze	VBG
cord-005496-cnwg4dnn	157	28	digital	digital	JJ
cord-005496-cnwg4dnn	157	29	signals	signal	NNS
cord-005496-cnwg4dnn	157	30	from	from	IN
cord-005496-cnwg4dnn	157	31	bedside	bedside	NN
cord-005496-cnwg4dnn	157	32	monitors	monitor	NNS
cord-005496-cnwg4dnn	157	33	and	and	CC
cord-005496-cnwg4dnn	157	34	mechanical	mechanical	JJ
cord-005496-cnwg4dnn	157	35	ventilators	ventilator	NNS
cord-005496-cnwg4dnn	157	36	[	[	-LRB-
cord-005496-cnwg4dnn	157	37	38	38	CD
cord-005496-cnwg4dnn	157	38	]	]	-RRB-
cord-005496-cnwg4dnn	157	39	.	.	.
cord-005496-cnwg4dnn	158	1	Rhem	Rhem	NNP
cord-005496-cnwg4dnn	158	2	et	et	NNP
cord-005496-cnwg4dnn	158	3	al	al	NNP
cord-005496-cnwg4dnn	158	4	.	.	.
cord-005496-cnwg4dnn	159	1	[	[	-LRB-
cord-005496-cnwg4dnn	159	2	40	40	CD
cord-005496-cnwg4dnn	159	3	]	]	-RRB-
cord-005496-cnwg4dnn	159	4	and	and	CC
cord-005496-cnwg4dnn	159	5	Adams	Adams	NNP
cord-005496-cnwg4dnn	159	6	et	et	NNP
cord-005496-cnwg4dnn	159	7	al	al	NNP
cord-005496-cnwg4dnn	159	8	.	.	.
cord-005496-cnwg4dnn	160	1	[	[	-LRB-
cord-005496-cnwg4dnn	160	2	41	41	CD
cord-005496-cnwg4dnn	160	3	]	]	-RRB-
cord-005496-cnwg4dnn	160	4	developed	develop	VBD
cord-005496-cnwg4dnn	160	5	a	a	DT
cord-005496-cnwg4dnn	160	6	set	set	NN
cord-005496-cnwg4dnn	160	7	of	of	IN
cord-005496-cnwg4dnn	160	8	algorithms	algorithm	NNS
cord-005496-cnwg4dnn	160	9	to	to	TO
cord-005496-cnwg4dnn	160	10	detect	detect	VB
cord-005496-cnwg4dnn	160	11	two	two	CD
cord-005496-cnwg4dnn	160	12	types	type	NNS
cord-005496-cnwg4dnn	160	13	of	of	IN
cord-005496-cnwg4dnn	160	14	asynchrony	asynchrony	NN
cord-005496-cnwg4dnn	160	15	associated	associate	VBN
cord-005496-cnwg4dnn	160	16	with	with	IN
cord-005496-cnwg4dnn	160	17	dynamic	dynamic	JJ
cord-005496-cnwg4dnn	160	18	hyperinflation	hyperinflation	NN
cord-005496-cnwg4dnn	160	19	,	,	,
cord-005496-cnwg4dnn	160	20	double	double	JJ
cord-005496-cnwg4dnn	160	21	triggering	triggering	NN
cord-005496-cnwg4dnn	160	22	,	,	,
cord-005496-cnwg4dnn	160	23	and	and	CC
cord-005496-cnwg4dnn	160	24	flow	flow	VB
cord-005496-cnwg4dnn	160	25	asynchrony	asynchrony	NN
cord-005496-cnwg4dnn	160	26	.	.	.
cord-005496-cnwg4dnn	161	1	Based	base	VBN
cord-005496-cnwg4dnn	161	2	on	on	IN
cord-005496-cnwg4dnn	161	3	a	a	DT
cord-005496-cnwg4dnn	161	4	learning	learning	NN
cord-005496-cnwg4dnn	161	5	database	database	NN
cord-005496-cnwg4dnn	161	6	of	of	IN
cord-005496-cnwg4dnn	161	7	5075	5075	CD
cord-005496-cnwg4dnn	161	8	breaths	breath	NNS
cord-005496-cnwg4dnn	161	9	from	from	IN
cord-005496-cnwg4dnn	161	10	16	16	CD
cord-005496-cnwg4dnn	161	11	patients	patient	NNS
cord-005496-cnwg4dnn	161	12	,	,	,
cord-005496-cnwg4dnn	161	13	they	-PRON-	PRP
cord-005496-cnwg4dnn	161	14	developed	develop	VBD
cord-005496-cnwg4dnn	161	15	logical	logical	JJ
cord-005496-cnwg4dnn	161	16	operators	operator	NNS
cord-005496-cnwg4dnn	161	17	to	to	TO
cord-005496-cnwg4dnn	161	18	recognize	recognize	VB
cord-005496-cnwg4dnn	161	19	double	double	JJ
cord-005496-cnwg4dnn	161	20	triggering	trigger	VBG
cord-005496-cnwg4dnn	161	21	based	base	VBN
cord-005496-cnwg4dnn	161	22	on	on	IN
cord-005496-cnwg4dnn	161	23	bedside	bedside	NN
cord-005496-cnwg4dnn	161	24	clinical	clinical	JJ
cord-005496-cnwg4dnn	161	25	rules	rule	NNS
cord-005496-cnwg4dnn	161	26	.	.	.
cord-005496-cnwg4dnn	162	1	Dynamic	dynamic	JJ
cord-005496-cnwg4dnn	162	2	hyperinflation	hyperinflation	NN
cord-005496-cnwg4dnn	162	3	was	be	VBD
cord-005496-cnwg4dnn	162	4	identified	identify	VBN
cord-005496-cnwg4dnn	162	5	from	from	IN
cord-005496-cnwg4dnn	162	6	the	the	DT
cord-005496-cnwg4dnn	162	7	ratio	ratio	NN
cord-005496-cnwg4dnn	162	8	of	of	IN
cord-005496-cnwg4dnn	162	9	exhaled	exhale	VBN
cord-005496-cnwg4dnn	162	10	to	to	IN
cord-005496-cnwg4dnn	162	11	inhaled	inhale	VBN
cord-005496-cnwg4dnn	162	12	tidal	tidal	JJ
cord-005496-cnwg4dnn	162	13	volume	volume	NN
cord-005496-cnwg4dnn	162	14	.	.	.
cord-005496-cnwg4dnn	163	1	The	the	DT
cord-005496-cnwg4dnn	163	2	algorithms	algorithm	NNS
cord-005496-cnwg4dnn	163	3	were	be	VBD
cord-005496-cnwg4dnn	163	4	validated	validate	VBN
cord-005496-cnwg4dnn	163	5	with	with	IN
cord-005496-cnwg4dnn	163	6	data	datum	NNS
cord-005496-cnwg4dnn	163	7	drawn	draw	VBN
cord-005496-cnwg4dnn	163	8	from	from	IN
cord-005496-cnwg4dnn	163	9	another	another	DT
cord-005496-cnwg4dnn	163	10	patient	patient	JJ
cord-005496-cnwg4dnn	163	11	cohort	cohort	NN
cord-005496-cnwg4dnn	163	12	(	(	-LRB-
cord-005496-cnwg4dnn	163	13	n	n	NN
cord-005496-cnwg4dnn	163	14	=	=	SYM
cord-005496-cnwg4dnn	163	15	17	17	CD
cord-005496-cnwg4dnn	163	16	)	)	-RRB-
cord-005496-cnwg4dnn	163	17	,	,	,
cord-005496-cnwg4dnn	163	18	resulting	result	VBG
cord-005496-cnwg4dnn	163	19	in	in	IN
cord-005496-cnwg4dnn	163	20	sensitivity	sensitivity	NN
cord-005496-cnwg4dnn	163	21	and	and	CC
cord-005496-cnwg4dnn	163	22	specificity	specificity	NN
cord-005496-cnwg4dnn	163	23	>	>	XX
cord-005496-cnwg4dnn	163	24	90	90	CD
cord-005496-cnwg4dnn	163	25	%	%	NN
cord-005496-cnwg4dnn	163	26	.	.	.
cord-005496-cnwg4dnn	164	1	Sottile	Sottile	NNP
cord-005496-cnwg4dnn	164	2	at	at	IN
cord-005496-cnwg4dnn	164	3	al	al	NNP
cord-005496-cnwg4dnn	164	4	[	[	-LRB-
cord-005496-cnwg4dnn	164	5	42	42	CD
cord-005496-cnwg4dnn	164	6	]	]	-RRB-
cord-005496-cnwg4dnn	164	7	.	.	.
cord-005496-cnwg4dnn	165	1	evaluated	evaluate	VBD
cord-005496-cnwg4dnn	165	2	several	several	JJ
cord-005496-cnwg4dnn	165	3	types	type	NNS
cord-005496-cnwg4dnn	165	4	of	of	IN
cord-005496-cnwg4dnn	165	5	machine	machine	NN
cord-005496-cnwg4dnn	165	6	learning	learning	NN
cord-005496-cnwg4dnn	165	7	algorithms	algorithm	NNS
cord-005496-cnwg4dnn	165	8	,	,	,
cord-005496-cnwg4dnn	165	9	including	include	VBG
cord-005496-cnwg4dnn	165	10	random	random	JJ
cord-005496-cnwg4dnn	165	11	forest	forest	NN
cord-005496-cnwg4dnn	165	12	,	,	,
cord-005496-cnwg4dnn	165	13	naïve	naïve	JJ
cord-005496-cnwg4dnn	165	14	Bayes	Bayes	NNP
cord-005496-cnwg4dnn	165	15	,	,	,
cord-005496-cnwg4dnn	165	16	and	and	CC
cord-005496-cnwg4dnn	165	17	AdaBoost	AdaBoost	NNP
cord-005496-cnwg4dnn	165	18	on	on	IN
cord-005496-cnwg4dnn	165	19	data	datum	NNS
cord-005496-cnwg4dnn	165	20	recorded	record	VBN
cord-005496-cnwg4dnn	165	21	from	from	IN
cord-005496-cnwg4dnn	165	22	62	62	CD
cord-005496-cnwg4dnn	165	23	mechanically	mechanically	RB
cord-005496-cnwg4dnn	165	24	ventilated	ventilate	VBN
cord-005496-cnwg4dnn	165	25	patients	patient	NNS
cord-005496-cnwg4dnn	165	26	with	with	IN
cord-005496-cnwg4dnn	165	27	or	or	CC
cord-005496-cnwg4dnn	165	28	at	at	IN
cord-005496-cnwg4dnn	165	29	risk	risk	NN
cord-005496-cnwg4dnn	165	30	of	of	IN
cord-005496-cnwg4dnn	165	31	ARDS	ARDS	NNP
cord-005496-cnwg4dnn	165	32	.	.	.
cord-005496-cnwg4dnn	166	1	They	-PRON-	PRP
cord-005496-cnwg4dnn	166	2	chose	choose	VBD
cord-005496-cnwg4dnn	166	3	116	116	CD
cord-005496-cnwg4dnn	166	4	features	feature	NNS
cord-005496-cnwg4dnn	166	5	based	base	VBN
cord-005496-cnwg4dnn	166	6	on	on	IN
cord-005496-cnwg4dnn	166	7	clinical	clinical	JJ
cord-005496-cnwg4dnn	166	8	insight	insight	NN
cord-005496-cnwg4dnn	166	9	and	and	CC
cord-005496-cnwg4dnn	166	10	signal	signal	JJ
cord-005496-cnwg4dnn	166	11	description	description	NN
cord-005496-cnwg4dnn	166	12	and	and	CC
cord-005496-cnwg4dnn	166	13	were	be	VBD
cord-005496-cnwg4dnn	166	14	able	able	JJ
cord-005496-cnwg4dnn	166	15	to	to	TO
cord-005496-cnwg4dnn	166	16	determine	determine	VB
cord-005496-cnwg4dnn	166	17	the	the	DT
cord-005496-cnwg4dnn	166	18	presence	presence	NN
cord-005496-cnwg4dnn	166	19	of	of	IN
cord-005496-cnwg4dnn	166	20	synchronous	synchronous	JJ
cord-005496-cnwg4dnn	166	21	breathing	breathing	NN
cord-005496-cnwg4dnn	166	22	,	,	,
cord-005496-cnwg4dnn	166	23	as	as	RB
cord-005496-cnwg4dnn	166	24	well	well	RB
cord-005496-cnwg4dnn	166	25	as	as	IN
cord-005496-cnwg4dnn	166	26	three	three	CD
cord-005496-cnwg4dnn	166	27	types	type	NNS
cord-005496-cnwg4dnn	166	28	of	of	IN
cord-005496-cnwg4dnn	166	29	patientventilator	patientventilator	NN
cord-005496-cnwg4dnn	166	30	asynchrony	asynchrony	NNP
cord-005496-cnwg4dnn	166	31	,	,	,
cord-005496-cnwg4dnn	166	32	including	include	VBG
cord-005496-cnwg4dnn	166	33	double	double	JJ
cord-005496-cnwg4dnn	166	34	triggering	triggering	JJ
cord-005496-cnwg4dnn	166	35	,	,	,
cord-005496-cnwg4dnn	166	36	flow	flow	VB
cord-005496-cnwg4dnn	166	37	limited	limited	JJ
cord-005496-cnwg4dnn	166	38	and	and	CC
cord-005496-cnwg4dnn	166	39	ineffective	ineffective	JJ
cord-005496-cnwg4dnn	166	40	triggering	triggering	NN
cord-005496-cnwg4dnn	166	41	,	,	,
cord-005496-cnwg4dnn	166	42	with	with	IN
cord-005496-cnwg4dnn	166	43	an	an	DT
cord-005496-cnwg4dnn	166	44	AUC	AUC	NNP
cord-005496-cnwg4dnn	166	45	>	>	XX
cord-005496-cnwg4dnn	166	46	0.89	0.89	CD
cord-005496-cnwg4dnn	166	47	.	.	.
cord-005496-cnwg4dnn	167	1	The	the	DT
cord-005496-cnwg4dnn	167	2	authors	author	NNS
cord-005496-cnwg4dnn	167	3	did	do	VBD
cord-005496-cnwg4dnn	167	4	acknowledge	acknowledge	VB
cord-005496-cnwg4dnn	167	5	that	that	IN
cord-005496-cnwg4dnn	167	6	their	-PRON-	PRP$
cord-005496-cnwg4dnn	167	7	algorithm	algorithm	NN
cord-005496-cnwg4dnn	167	8	does	do	VBZ
cord-005496-cnwg4dnn	167	9	not	not	RB
cord-005496-cnwg4dnn	167	10	identify	identify	VB
cord-005496-cnwg4dnn	167	11	all	all	DT
cord-005496-cnwg4dnn	167	12	types	type	NNS
cord-005496-cnwg4dnn	167	13	of	of	IN
cord-005496-cnwg4dnn	167	14	patient	patient	NN
cord-005496-cnwg4dnn	167	15	-	-	HYPH
cord-005496-cnwg4dnn	167	16	ventilator	ventilator	NN
cord-005496-cnwg4dnn	167	17	asynchrony	asynchrony	NN
cord-005496-cnwg4dnn	167	18	,	,	,
cord-005496-cnwg4dnn	167	19	in	in	IN
cord-005496-cnwg4dnn	167	20	particular	particular	JJ
cord-005496-cnwg4dnn	167	21	premature	premature	JJ
cord-005496-cnwg4dnn	167	22	ventilator	ventilator	NN
cord-005496-cnwg4dnn	167	23	terminated	terminate	VBN
cord-005496-cnwg4dnn	167	24	breaths	breath	NNS
cord-005496-cnwg4dnn	167	25	,	,	,
cord-005496-cnwg4dnn	167	26	or	or	CC
cord-005496-cnwg4dnn	167	27	cycling	cycling	NN
cord-005496-cnwg4dnn	167	28	asynchronies	asynchrony	NNS
cord-005496-cnwg4dnn	167	29	.	.	.
cord-005496-cnwg4dnn	168	1	Gholami	Gholami	NNP
cord-005496-cnwg4dnn	168	2	et	et	NNP
cord-005496-cnwg4dnn	168	3	al	al	NNP
cord-005496-cnwg4dnn	168	4	.	.	.
cord-005496-cnwg4dnn	169	1	[	[	-LRB-
cord-005496-cnwg4dnn	169	2	43	43	CD
cord-005496-cnwg4dnn	169	3	]	]	-RRB-
cord-005496-cnwg4dnn	169	4	trained	train	VBD
cord-005496-cnwg4dnn	169	5	a	a	DT
cord-005496-cnwg4dnn	169	6	random	random	JJ
cord-005496-cnwg4dnn	169	7	forest	forest	NN
cord-005496-cnwg4dnn	169	8	classifier	classifier	NN
cord-005496-cnwg4dnn	169	9	algorithm	algorithm	NN
cord-005496-cnwg4dnn	169	10	from	from	IN
cord-005496-cnwg4dnn	169	11	a	a	DT
cord-005496-cnwg4dnn	169	12	training	training	NN
cord-005496-cnwg4dnn	169	13	data	datum	NNS
cord-005496-cnwg4dnn	169	14	set	set	VBN
cord-005496-cnwg4dnn	169	15	produced	produce	VBN
cord-005496-cnwg4dnn	169	16	by	by	IN
cord-005496-cnwg4dnn	169	17	five	five	CD
cord-005496-cnwg4dnn	169	18	experts	expert	NNS
cord-005496-cnwg4dnn	169	19	who	who	WP
cord-005496-cnwg4dnn	169	20	evaluated	evaluate	VBD
cord-005496-cnwg4dnn	169	21	1377	1377	CD
cord-005496-cnwg4dnn	169	22	breath	breath	NN
cord-005496-cnwg4dnn	169	23	cycles	cycle	NNS
cord-005496-cnwg4dnn	169	24	from	from	IN
cord-005496-cnwg4dnn	169	25	11	11	CD
cord-005496-cnwg4dnn	169	26	mechanically	mechanically	RB
cord-005496-cnwg4dnn	169	27	ventilated	ventilate	VBD
cord-005496-cnwg4dnn	169	28	patients	patient	NNS
cord-005496-cnwg4dnn	169	29	to	to	TO
cord-005496-cnwg4dnn	169	30	evaluate	evaluate	VB
cord-005496-cnwg4dnn	169	31	cycling	cycling	NN
cord-005496-cnwg4dnn	169	32	asynchronies	asynchrony	NNS
cord-005496-cnwg4dnn	169	33	.	.	.
cord-005496-cnwg4dnn	170	1	Patients	patient	NNS
cord-005496-cnwg4dnn	170	2	were	be	VBD
cord-005496-cnwg4dnn	170	3	ventilated	ventilate	VBN
cord-005496-cnwg4dnn	170	4	with	with	IN
cord-005496-cnwg4dnn	170	5	pressurecontrolled	pressurecontrolled	JJ
cord-005496-cnwg4dnn	170	6	volume	volume	NN
cord-005496-cnwg4dnn	170	7	ventilation	ventilation	NN
cord-005496-cnwg4dnn	170	8	.	.	.
cord-005496-cnwg4dnn	171	1	The	the	DT
cord-005496-cnwg4dnn	171	2	model	model	NN
cord-005496-cnwg4dnn	171	3	accurately	accurately	RB
cord-005496-cnwg4dnn	171	4	detected	detect	VBD
cord-005496-cnwg4dnn	171	5	the	the	DT
cord-005496-cnwg4dnn	171	6	presence	presence	NN
cord-005496-cnwg4dnn	171	7	or	or	CC
cord-005496-cnwg4dnn	171	8	absence	absence	NN
cord-005496-cnwg4dnn	171	9	of	of	IN
cord-005496-cnwg4dnn	171	10	secondary	secondary	JJ
cord-005496-cnwg4dnn	171	11	synchrony	synchrony	NN
cord-005496-cnwg4dnn	171	12	with	with	IN
cord-005496-cnwg4dnn	171	13	a	a	DT
cord-005496-cnwg4dnn	171	14	sensitivity	sensitivity	NN
cord-005496-cnwg4dnn	171	15	of	of	IN
cord-005496-cnwg4dnn	171	16	89	89	CD
cord-005496-cnwg4dnn	171	17	%	%	NN
cord-005496-cnwg4dnn	171	18	.	.	.
cord-005496-cnwg4dnn	172	1	Mulqueeny	Mulqueeny	NNP
cord-005496-cnwg4dnn	172	2	et	et	NNP
cord-005496-cnwg4dnn	172	3	al	al	NNP
cord-005496-cnwg4dnn	172	4	.	.	.
cord-005496-cnwg4dnn	173	1	[	[	-LRB-
cord-005496-cnwg4dnn	173	2	44	44	CD
cord-005496-cnwg4dnn	173	3	]	]	-RRB-
cord-005496-cnwg4dnn	173	4	used	use	VBD
cord-005496-cnwg4dnn	173	5	a	a	DT
cord-005496-cnwg4dnn	173	6	naïve	naïve	JJ
cord-005496-cnwg4dnn	173	7	Bayes	Bayes	NNP
cord-005496-cnwg4dnn	173	8	machine	machine	NN
cord-005496-cnwg4dnn	173	9	learning	learning	NN
cord-005496-cnwg4dnn	173	10	algorithm	algorithm	NN
cord-005496-cnwg4dnn	173	11	with	with	IN
cord-005496-cnwg4dnn	173	12	21	21	CD
cord-005496-cnwg4dnn	173	13	features	feature	NNS
cord-005496-cnwg4dnn	173	14	,	,	,
cord-005496-cnwg4dnn	173	15	including	include	VBG
cord-005496-cnwg4dnn	173	16	measures	measure	NNS
cord-005496-cnwg4dnn	173	17	of	of	IN
cord-005496-cnwg4dnn	173	18	respiratory	respiratory	JJ
cord-005496-cnwg4dnn	173	19	rate	rate	NN
cord-005496-cnwg4dnn	173	20	,	,	,
cord-005496-cnwg4dnn	173	21	tidal	tidal	JJ
cord-005496-cnwg4dnn	173	22	volume	volume	NN
cord-005496-cnwg4dnn	173	23	,	,	,
cord-005496-cnwg4dnn	173	24	respiratory	respiratory	JJ
cord-005496-cnwg4dnn	173	25	mechanics	mechanic	NNS
cord-005496-cnwg4dnn	173	26	and	and	CC
cord-005496-cnwg4dnn	173	27	expiratory	expiratory	JJ
cord-005496-cnwg4dnn	173	28	flow	flow	NN
cord-005496-cnwg4dnn	173	29	morphology	morphology	NN
cord-005496-cnwg4dnn	173	30	to	to	IN
cord-005496-cnwg4dnn	173	31	a	a	DT
cord-005496-cnwg4dnn	173	32	dataset	dataset	NN
cord-005496-cnwg4dnn	173	33	of	of	IN
cord-005496-cnwg4dnn	173	34	5624	5624	CD
cord-005496-cnwg4dnn	173	35	breaths	breath	NNS
cord-005496-cnwg4dnn	173	36	manually	manually	RB
cord-005496-cnwg4dnn	173	37	classified	classify	VBN
cord-005496-cnwg4dnn	173	38	by	by	IN
cord-005496-cnwg4dnn	173	39	a	a	DT
cord-005496-cnwg4dnn	173	40	single	single	JJ
cord-005496-cnwg4dnn	173	41	observer	observer	NN
cord-005496-cnwg4dnn	173	42	,	,	,
cord-005496-cnwg4dnn	173	43	resulting	result	VBG
cord-005496-cnwg4dnn	173	44	in	in	IN
cord-005496-cnwg4dnn	173	45	an	an	DT
cord-005496-cnwg4dnn	173	46	accuracy	accuracy	NN
cord-005496-cnwg4dnn	173	47	of	of	IN
cord-005496-cnwg4dnn	173	48	84	84	CD
cord-005496-cnwg4dnn	173	49	%	%	NN
cord-005496-cnwg4dnn	173	50	,	,	,
cord-005496-cnwg4dnn	173	51	but	but	CC
cord-005496-cnwg4dnn	173	52	a	a	DT
cord-005496-cnwg4dnn	173	53	sensitivity	sensitivity	NN
cord-005496-cnwg4dnn	173	54	of	of	IN
cord-005496-cnwg4dnn	173	55	only	only	RB
cord-005496-cnwg4dnn	173	56	59	59	CD
cord-005496-cnwg4dnn	173	57	%	%	NN
cord-005496-cnwg4dnn	173	58	.	.	.
cord-005496-cnwg4dnn	174	1	Loo	Loo	NNP
cord-005496-cnwg4dnn	174	2	et	et	NNP
cord-005496-cnwg4dnn	174	3	al	al	NNP
cord-005496-cnwg4dnn	174	4	.	.	.
cord-005496-cnwg4dnn	175	1	[	[	-LRB-
cord-005496-cnwg4dnn	175	2	45	45	CD
cord-005496-cnwg4dnn	175	3	]	]	-RRB-
cord-005496-cnwg4dnn	175	4	trained	train	VBD
cord-005496-cnwg4dnn	175	5	a	a	DT
cord-005496-cnwg4dnn	175	6	convolutional	convolutional	JJ
cord-005496-cnwg4dnn	175	7	neural	neural	JJ
cord-005496-cnwg4dnn	175	8	network	network	NN
cord-005496-cnwg4dnn	175	9	with	with	IN
cord-005496-cnwg4dnn	175	10	5500	5500	CD
cord-005496-cnwg4dnn	175	11	abnormal	abnormal	JJ
cord-005496-cnwg4dnn	175	12	and	and	CC
cord-005496-cnwg4dnn	175	13	5500	5500	CD
cord-005496-cnwg4dnn	175	14	normal	normal	JJ
cord-005496-cnwg4dnn	175	15	breathing	breathing	NN
cord-005496-cnwg4dnn	175	16	cycles	cycle	NNS
cord-005496-cnwg4dnn	175	17	aimed	aim	VBN
cord-005496-cnwg4dnn	175	18	at	at	IN
cord-005496-cnwg4dnn	175	19	developing	develop	VBG
cord-005496-cnwg4dnn	175	20	an	an	DT
cord-005496-cnwg4dnn	175	21	algorithm	algorithm	NN
cord-005496-cnwg4dnn	175	22	capable	capable	JJ
cord-005496-cnwg4dnn	175	23	of	of	IN
cord-005496-cnwg4dnn	175	24	separating	separate	VBG
cord-005496-cnwg4dnn	175	25	normal	normal	JJ
cord-005496-cnwg4dnn	175	26	from	from	IN
cord-005496-cnwg4dnn	175	27	abnormal	abnormal	JJ
cord-005496-cnwg4dnn	175	28	breathing	breathing	NN
cord-005496-cnwg4dnn	175	29	cycles	cycle	NNS
cord-005496-cnwg4dnn	175	30	,	,	,
cord-005496-cnwg4dnn	175	31	reporting	report	VBG
cord-005496-cnwg4dnn	175	32	96.9	96.9	CD
cord-005496-cnwg4dnn	175	33	%	%	NN
cord-005496-cnwg4dnn	175	34	sensitivity	sensitivity	NN
cord-005496-cnwg4dnn	175	35	and	and	CC
cord-005496-cnwg4dnn	175	36	63.7	63.7	CD
cord-005496-cnwg4dnn	175	37	%	%	NN
cord-005496-cnwg4dnn	175	38	specificity	specificity	NN
cord-005496-cnwg4dnn	175	39	.	.	.
cord-005496-cnwg4dnn	176	1	The	the	DT
cord-005496-cnwg4dnn	176	2	accuracy	accuracy	NN
cord-005496-cnwg4dnn	176	3	of	of	IN
cord-005496-cnwg4dnn	176	4	a	a	DT
cord-005496-cnwg4dnn	176	5	machine	machine	NN
cord-005496-cnwg4dnn	176	6	learning	learning	NN
cord-005496-cnwg4dnn	176	7	algorithm	algorithm	NN
cord-005496-cnwg4dnn	176	8	is	be	VBZ
cord-005496-cnwg4dnn	176	9	judged	judge	VBN
cord-005496-cnwg4dnn	176	10	by	by	IN
cord-005496-cnwg4dnn	176	11	its	-PRON-	PRP$
cord-005496-cnwg4dnn	176	12	ability	ability	NN
cord-005496-cnwg4dnn	176	13	to	to	TO
cord-005496-cnwg4dnn	176	14	correctly	correctly	RB
cord-005496-cnwg4dnn	176	15	predict	predict	VB
cord-005496-cnwg4dnn	176	16	the	the	DT
cord-005496-cnwg4dnn	176	17	unseen	unseen	JJ
cord-005496-cnwg4dnn	176	18	test	test	NN
cord-005496-cnwg4dnn	176	19	dataset	dataset	NN
cord-005496-cnwg4dnn	176	20	.	.	.
cord-005496-cnwg4dnn	177	1	Models	model	NNS
cord-005496-cnwg4dnn	177	2	are	be	VBP
cord-005496-cnwg4dnn	177	3	created	create	VBN
cord-005496-cnwg4dnn	177	4	and	and	CC
cord-005496-cnwg4dnn	177	5	tested	test	VBN
cord-005496-cnwg4dnn	177	6	with	with	IN
cord-005496-cnwg4dnn	177	7	instances	instance	NNS
cord-005496-cnwg4dnn	177	8	culled	cull	VBN
cord-005496-cnwg4dnn	177	9	from	from	IN
cord-005496-cnwg4dnn	177	10	the	the	DT
cord-005496-cnwg4dnn	177	11	same	same	JJ
cord-005496-cnwg4dnn	177	12	data	data	NN
cord-005496-cnwg4dnn	177	13	population	population	NN
cord-005496-cnwg4dnn	177	14	,	,	,
cord-005496-cnwg4dnn	177	15	and	and	CC
cord-005496-cnwg4dnn	177	16	it	-PRON-	PRP
cord-005496-cnwg4dnn	177	17	is	be	VBZ
cord-005496-cnwg4dnn	177	18	common	common	JJ
cord-005496-cnwg4dnn	177	19	to	to	TO
cord-005496-cnwg4dnn	177	20	find	find	VB
cord-005496-cnwg4dnn	177	21	reports	report	NNS
cord-005496-cnwg4dnn	177	22	of	of	IN
cord-005496-cnwg4dnn	177	23	algorithms	algorithm	NNS
cord-005496-cnwg4dnn	177	24	having	have	VBG
cord-005496-cnwg4dnn	177	25	very	very	RB
cord-005496-cnwg4dnn	177	26	high	high	JJ
cord-005496-cnwg4dnn	177	27	accuracy	accuracy	NN
cord-005496-cnwg4dnn	177	28	scores	score	NNS
cord-005496-cnwg4dnn	177	29	in	in	IN
cord-005496-cnwg4dnn	177	30	the	the	DT
cord-005496-cnwg4dnn	177	31	machine	machine	NN
cord-005496-cnwg4dnn	177	32	learning	learn	VBG
cord-005496-cnwg4dnn	177	33	literature	literature	NN
cord-005496-cnwg4dnn	177	34	.	.	.
cord-005496-cnwg4dnn	178	1	Given	give	VBN
cord-005496-cnwg4dnn	178	2	a	a	DT
cord-005496-cnwg4dnn	178	3	judicious	judicious	JJ
cord-005496-cnwg4dnn	178	4	selection	selection	NN
cord-005496-cnwg4dnn	178	5	of	of	IN
cord-005496-cnwg4dnn	178	6	features	feature	NNS
cord-005496-cnwg4dnn	178	7	,	,	,
cord-005496-cnwg4dnn	178	8	a	a	DT
cord-005496-cnwg4dnn	178	9	sufficiently	sufficiently	RB
cord-005496-cnwg4dnn	178	10	large	large	JJ
cord-005496-cnwg4dnn	178	11	number	number	NN
cord-005496-cnwg4dnn	178	12	of	of	IN
cord-005496-cnwg4dnn	178	13	instances	instance	NNS
cord-005496-cnwg4dnn	178	14	,	,	,
cord-005496-cnwg4dnn	178	15	and	and	CC
cord-005496-cnwg4dnn	178	16	a	a	DT
cord-005496-cnwg4dnn	178	17	wise	wise	JJ
cord-005496-cnwg4dnn	178	18	choice	choice	NN
cord-005496-cnwg4dnn	178	19	of	of	IN
cord-005496-cnwg4dnn	178	20	algorithm	algorithm	NN
cord-005496-cnwg4dnn	178	21	,	,	,
cord-005496-cnwg4dnn	178	22	the	the	DT
cord-005496-cnwg4dnn	178	23	most	most	RBS
cord-005496-cnwg4dnn	178	24	likely	likely	JJ
cord-005496-cnwg4dnn	178	25	outcome	outcome	NN
cord-005496-cnwg4dnn	178	26	will	will	MD
cord-005496-cnwg4dnn	178	27	be	be	VB
cord-005496-cnwg4dnn	178	28	a	a	DT
cord-005496-cnwg4dnn	178	29	highly	highly	RB
cord-005496-cnwg4dnn	178	30	accurate	accurate	JJ
cord-005496-cnwg4dnn	178	31	model	model	NN
cord-005496-cnwg4dnn	178	32	.	.	.
cord-005496-cnwg4dnn	179	1	If	if	IN
cord-005496-cnwg4dnn	179	2	the	the	DT
cord-005496-cnwg4dnn	179	3	data	datum	NNS
cord-005496-cnwg4dnn	179	4	are	be	VBP
cord-005496-cnwg4dnn	179	5	true	true	JJ
cord-005496-cnwg4dnn	179	6	and	and	CC
cord-005496-cnwg4dnn	179	7	verifiable	verifiable	JJ
cord-005496-cnwg4dnn	179	8	,	,	,
cord-005496-cnwg4dnn	179	9	the	the	DT
cord-005496-cnwg4dnn	179	10	model	model	NN
cord-005496-cnwg4dnn	179	11	's	's	POS
cord-005496-cnwg4dnn	179	12	predictions	prediction	NNS
cord-005496-cnwg4dnn	179	13	are	be	VBP
cord-005496-cnwg4dnn	179	14	also	also	RB
cord-005496-cnwg4dnn	179	15	bound	bind	VBN
cord-005496-cnwg4dnn	179	16	to	to	TO
cord-005496-cnwg4dnn	179	17	be	be	VB
cord-005496-cnwg4dnn	179	18	reliable	reliable	JJ
cord-005496-cnwg4dnn	179	19	.	.	.
cord-005496-cnwg4dnn	180	1	On	on	IN
cord-005496-cnwg4dnn	180	2	the	the	DT
cord-005496-cnwg4dnn	180	3	other	other	JJ
cord-005496-cnwg4dnn	180	4	hand	hand	NN
cord-005496-cnwg4dnn	180	5	,	,	,
cord-005496-cnwg4dnn	180	6	when	when	WRB
cord-005496-cnwg4dnn	180	7	a	a	DT
cord-005496-cnwg4dnn	180	8	model	model	NN
cord-005496-cnwg4dnn	180	9	trained	train	VBN
cord-005496-cnwg4dnn	180	10	with	with	IN
cord-005496-cnwg4dnn	180	11	untested	untested	JJ
cord-005496-cnwg4dnn	180	12	or	or	CC
cord-005496-cnwg4dnn	180	13	faulty	faulty	JJ
cord-005496-cnwg4dnn	180	14	data	datum	NNS
cord-005496-cnwg4dnn	180	15	is	be	VBZ
cord-005496-cnwg4dnn	180	16	presented	present	VBN
cord-005496-cnwg4dnn	180	17	with	with	IN
cord-005496-cnwg4dnn	180	18	data	datum	NNS
cord-005496-cnwg4dnn	180	19	drawn	draw	VBN
cord-005496-cnwg4dnn	180	20	from	from	IN
cord-005496-cnwg4dnn	180	21	the	the	DT
cord-005496-cnwg4dnn	180	22	same	same	JJ
cord-005496-cnwg4dnn	180	23	population	population	NN
cord-005496-cnwg4dnn	180	24	,	,	,
cord-005496-cnwg4dnn	180	25	the	the	DT
cord-005496-cnwg4dnn	180	26	predictions	prediction	NNS
cord-005496-cnwg4dnn	180	27	are	be	VBP
cord-005496-cnwg4dnn	180	28	likely	likely	JJ
cord-005496-cnwg4dnn	180	29	to	to	TO
cord-005496-cnwg4dnn	180	30	be	be	VB
cord-005496-cnwg4dnn	180	31	accurate	accurate	JJ
cord-005496-cnwg4dnn	180	32	but	but	CC
cord-005496-cnwg4dnn	180	33	totally	totally	RB
cord-005496-cnwg4dnn	180	34	unreliable	unreliable	JJ
cord-005496-cnwg4dnn	180	35	.	.	.
cord-005496-cnwg4dnn	181	1	As	as	IN
cord-005496-cnwg4dnn	181	2	some	some	DT
cord-005496-cnwg4dnn	181	3	have	have	VBP
cord-005496-cnwg4dnn	181	4	succinctly	succinctly	RB
cord-005496-cnwg4dnn	181	5	put	put	VBN
cord-005496-cnwg4dnn	181	6	it	-PRON-	PRP
cord-005496-cnwg4dnn	181	7	,	,	,
cord-005496-cnwg4dnn	181	8	rubbish	rubbish	VB
cord-005496-cnwg4dnn	181	9	in	in	RB
cord-005496-cnwg4dnn	181	10	,	,	,
cord-005496-cnwg4dnn	181	11	rubbish	rubbish	VB
cord-005496-cnwg4dnn	181	12	out	out	RP
cord-005496-cnwg4dnn	181	13	.	.	.
cord-005496-cnwg4dnn	182	1	This	this	DT
cord-005496-cnwg4dnn	182	2	begs	beg	VBZ
cord-005496-cnwg4dnn	182	3	the	the	DT
cord-005496-cnwg4dnn	182	4	question	question	NN
cord-005496-cnwg4dnn	182	5	of	of	IN
cord-005496-cnwg4dnn	182	6	what	what	WP
cord-005496-cnwg4dnn	182	7	are	be	VBP
cord-005496-cnwg4dnn	182	8	the	the	DT
cord-005496-cnwg4dnn	182	9	limits	limit	NNS
cord-005496-cnwg4dnn	182	10	of	of	IN
cord-005496-cnwg4dnn	182	11	model	model	NN
cord-005496-cnwg4dnn	182	12	reliability	reliability	NN
cord-005496-cnwg4dnn	182	13	.	.	.
cord-005496-cnwg4dnn	183	1	Whereas	whereas	IN
cord-005496-cnwg4dnn	183	2	AI	AI	NNP
cord-005496-cnwg4dnn	183	3	is	be	VBZ
cord-005496-cnwg4dnn	183	4	able	able	JJ
cord-005496-cnwg4dnn	183	5	to	to	TO
cord-005496-cnwg4dnn	183	6	consider	consider	VB
cord-005496-cnwg4dnn	183	7	numerous	numerous	JJ
cord-005496-cnwg4dnn	183	8	variables	variable	NNS
cord-005496-cnwg4dnn	183	9	and	and	CC
cord-005496-cnwg4dnn	183	10	minimize	minimize	VB
cord-005496-cnwg4dnn	183	11	human	human	JJ
cord-005496-cnwg4dnn	183	12	bias	bias	NN
cord-005496-cnwg4dnn	183	13	in	in	IN
cord-005496-cnwg4dnn	183	14	data	datum	NNS
cord-005496-cnwg4dnn	183	15	classification	classification	NN
cord-005496-cnwg4dnn	183	16	,	,	,
cord-005496-cnwg4dnn	183	17	it	-PRON-	PRP
cord-005496-cnwg4dnn	183	18	can	can	MD
cord-005496-cnwg4dnn	183	19	not	not	RB
cord-005496-cnwg4dnn	183	20	insure	insure	VB
cord-005496-cnwg4dnn	183	21	model	model	NN
cord-005496-cnwg4dnn	183	22	reliability	reliability	NN
cord-005496-cnwg4dnn	183	23	.	.	.
cord-005496-cnwg4dnn	184	1	Therefore	therefore	RB
cord-005496-cnwg4dnn	184	2	,	,	,
cord-005496-cnwg4dnn	184	3	the	the	DT
cord-005496-cnwg4dnn	184	4	greatest	great	JJS
cord-005496-cnwg4dnn	184	5	challenge	challenge	NN
cord-005496-cnwg4dnn	184	6	when	when	WRB
cord-005496-cnwg4dnn	184	7	creating	create	VBG
cord-005496-cnwg4dnn	184	8	a	a	DT
cord-005496-cnwg4dnn	184	9	clinical	clinical	JJ
cord-005496-cnwg4dnn	184	10	machine	machine	NN
cord-005496-cnwg4dnn	184	11	learning	learning	NN
cord-005496-cnwg4dnn	184	12	model	model	NN
cord-005496-cnwg4dnn	184	13	lies	lie	VBZ
cord-005496-cnwg4dnn	184	14	in	in	IN
cord-005496-cnwg4dnn	184	15	identifying	identify	VBG
cord-005496-cnwg4dnn	184	16	the	the	DT
cord-005496-cnwg4dnn	184	17	gold	gold	NN
cord-005496-cnwg4dnn	184	18	standard	standard	NN
cord-005496-cnwg4dnn	184	19	to	to	TO
cord-005496-cnwg4dnn	184	20	be	be	VB
cord-005496-cnwg4dnn	184	21	used	use	VBN
cord-005496-cnwg4dnn	184	22	in	in	IN
cord-005496-cnwg4dnn	184	23	the	the	DT
cord-005496-cnwg4dnn	184	24	classification	classification	NN
cord-005496-cnwg4dnn	184	25	.	.	.
cord-005496-cnwg4dnn	185	1	A	a	DT
cord-005496-cnwg4dnn	185	2	great	great	JJ
cord-005496-cnwg4dnn	185	3	deal	deal	NN
cord-005496-cnwg4dnn	185	4	of	of	IN
cord-005496-cnwg4dnn	185	5	what	what	WP
cord-005496-cnwg4dnn	185	6	we	-PRON-	PRP
cord-005496-cnwg4dnn	185	7	see	see	VBP
cord-005496-cnwg4dnn	185	8	and	and	CC
cord-005496-cnwg4dnn	185	9	do	do	VBP
cord-005496-cnwg4dnn	185	10	in	in	IN
cord-005496-cnwg4dnn	185	11	medicine	medicine	NN
cord-005496-cnwg4dnn	185	12	is	be	VBZ
cord-005496-cnwg4dnn	185	13	highly	highly	RB
cord-005496-cnwg4dnn	185	14	subjective	subjective	JJ
cord-005496-cnwg4dnn	185	15	,	,	,
cord-005496-cnwg4dnn	185	16	and	and	CC
cord-005496-cnwg4dnn	185	17	unanimity	unanimity	NN
cord-005496-cnwg4dnn	185	18	of	of	IN
cord-005496-cnwg4dnn	185	19	opinion	opinion	NN
cord-005496-cnwg4dnn	185	20	is	be	VBZ
cord-005496-cnwg4dnn	185	21	seldom	seldom	RB
cord-005496-cnwg4dnn	185	22	found	find	VBN
cord-005496-cnwg4dnn	185	23	among	among	IN
cord-005496-cnwg4dnn	185	24	intensivists	intensivist	NNS
cord-005496-cnwg4dnn	185	25	.	.	.
cord-005496-cnwg4dnn	186	1	For	for	IN
cord-005496-cnwg4dnn	186	2	example	example	NN
cord-005496-cnwg4dnn	186	3	,	,	,
cord-005496-cnwg4dnn	186	4	a	a	DT
cord-005496-cnwg4dnn	186	5	study	study	NN
cord-005496-cnwg4dnn	186	6	[	[	-LRB-
cord-005496-cnwg4dnn	186	7	46	46	CD
cord-005496-cnwg4dnn	186	8	]	]	-RRB-
cord-005496-cnwg4dnn	186	9	on	on	IN
cord-005496-cnwg4dnn	186	10	interobserver	interobserver	NN
cord-005496-cnwg4dnn	186	11	reliability	reliability	NN
cord-005496-cnwg4dnn	186	12	of	of	IN
cord-005496-cnwg4dnn	186	13	clinicians	clinician	NNS
cord-005496-cnwg4dnn	186	14	in	in	IN
cord-005496-cnwg4dnn	186	15	diagnosing	diagnose	VBG
cord-005496-cnwg4dnn	186	16	ARDS	ARDS	NNP
cord-005496-cnwg4dnn	186	17	according	accord	VBG
cord-005496-cnwg4dnn	186	18	to	to	IN
cord-005496-cnwg4dnn	186	19	the	the	DT
cord-005496-cnwg4dnn	186	20	Berlin	Berlin	NNP
cord-005496-cnwg4dnn	186	21	definition	definition	NN
cord-005496-cnwg4dnn	186	22	found	find	VBD
cord-005496-cnwg4dnn	186	23	only	only	RB
cord-005496-cnwg4dnn	186	24	a	a	DT
cord-005496-cnwg4dnn	186	25	moderate	moderate	JJ
cord-005496-cnwg4dnn	186	26	degree	degree	NN
cord-005496-cnwg4dnn	186	27	of	of	IN
cord-005496-cnwg4dnn	186	28	reliability	reliability	NN
cord-005496-cnwg4dnn	186	29	(	(	-LRB-
cord-005496-cnwg4dnn	186	30	kappa	kappa	NN
cord-005496-cnwg4dnn	186	31	=	=	SYM
cord-005496-cnwg4dnn	186	32	0.50	0.50	CD
cord-005496-cnwg4dnn	186	33	)	)	-RRB-
cord-005496-cnwg4dnn	186	34	.	.	.
cord-005496-cnwg4dnn	187	1	The	the	DT
cord-005496-cnwg4dnn	187	2	main	main	JJ
cord-005496-cnwg4dnn	187	3	driver	driver	NN
cord-005496-cnwg4dnn	187	4	of	of	IN
cord-005496-cnwg4dnn	187	5	the	the	DT
cord-005496-cnwg4dnn	187	6	variability	variability	NN
cord-005496-cnwg4dnn	187	7	was	be	VBD
cord-005496-cnwg4dnn	187	8	the	the	DT
cord-005496-cnwg4dnn	187	9	interpretation	interpretation	NN
cord-005496-cnwg4dnn	187	10	of	of	IN
cord-005496-cnwg4dnn	187	11	chest	chest	NN
cord-005496-cnwg4dnn	187	12	radiographs	radiograph	NNS
cord-005496-cnwg4dnn	187	13	.	.	.
cord-005496-cnwg4dnn	188	1	Similar	similar	JJ
cord-005496-cnwg4dnn	188	2	findings	finding	NNS
cord-005496-cnwg4dnn	188	3	were	be	VBD
cord-005496-cnwg4dnn	188	4	noted	note	VBN
cord-005496-cnwg4dnn	188	5	in	in	IN
cord-005496-cnwg4dnn	188	6	clinicians	clinician	NNS
cord-005496-cnwg4dnn	188	7	evaluating	evaluate	VBG
cord-005496-cnwg4dnn	188	8	optic	optic	JJ
cord-005496-cnwg4dnn	188	9	disk	disk	NN
cord-005496-cnwg4dnn	188	10	photographs	photograph	NNS
cord-005496-cnwg4dnn	188	11	for	for	IN
cord-005496-cnwg4dnn	188	12	glaucoma	glaucoma	NN
cord-005496-cnwg4dnn	188	13	(	(	-LRB-
cord-005496-cnwg4dnn	188	14	kappa	kappa	NNP
cord-005496-cnwg4dnn	188	15	0.40	0.40	CD
cord-005496-cnwg4dnn	188	16	-	-	HYPH
cord-005496-cnwg4dnn	188	17	0.52	0.52	CD
cord-005496-cnwg4dnn	188	18	)	)	-RRB-
cord-005496-cnwg4dnn	188	19	[	[	-LRB-
cord-005496-cnwg4dnn	188	20	47	47	CD
cord-005496-cnwg4dnn	188	21	]	]	-RRB-
cord-005496-cnwg4dnn	188	22	.	.	.
cord-005496-cnwg4dnn	189	1	It	-PRON-	PRP
cord-005496-cnwg4dnn	189	2	is	be	VBZ
cord-005496-cnwg4dnn	189	3	therefore	therefore	RB
cord-005496-cnwg4dnn	189	4	unlikely	unlikely	JJ
cord-005496-cnwg4dnn	189	5	that	that	IN
cord-005496-cnwg4dnn	189	6	model	model	NN
cord-005496-cnwg4dnn	189	7	reliability	reliability	NN
cord-005496-cnwg4dnn	189	8	in	in	IN
cord-005496-cnwg4dnn	189	9	the	the	DT
cord-005496-cnwg4dnn	189	10	ICU	ICU	NNP
cord-005496-cnwg4dnn	189	11	will	will	MD
cord-005496-cnwg4dnn	189	12	ever	ever	RB
cord-005496-cnwg4dnn	189	13	exceed	exceed	VB
cord-005496-cnwg4dnn	189	14	60	60	CD
cord-005496-cnwg4dnn	189	15	-	-	SYM
cord-005496-cnwg4dnn	189	16	70	70	CD
cord-005496-cnwg4dnn	189	17	%	%	NN
cord-005496-cnwg4dnn	189	18	,	,	,
cord-005496-cnwg4dnn	189	19	even	even	RB
cord-005496-cnwg4dnn	189	20	in	in	IN
cord-005496-cnwg4dnn	189	21	the	the	DT
cord-005496-cnwg4dnn	189	22	best	good	JJS
cord-005496-cnwg4dnn	189	23	of	of	IN
cord-005496-cnwg4dnn	189	24	hands	hand	NNS
cord-005496-cnwg4dnn	189	25	.	.	.
cord-005496-cnwg4dnn	190	1	Experienced	experienced	JJ
cord-005496-cnwg4dnn	190	2	intensivists	intensivist	NNS
cord-005496-cnwg4dnn	190	3	excel	excel	VBP
cord-005496-cnwg4dnn	190	4	at	at	IN
cord-005496-cnwg4dnn	190	5	collecting	collecting	NN
cord-005496-cnwg4dnn	190	6	,	,	,
cord-005496-cnwg4dnn	190	7	classifying	classify	VBG
cord-005496-cnwg4dnn	190	8	,	,	,
cord-005496-cnwg4dnn	190	9	and	and	CC
cord-005496-cnwg4dnn	190	10	analyzing	analyze	VBG
cord-005496-cnwg4dnn	190	11	snapshots	snapshot	NNS
cord-005496-cnwg4dnn	190	12	of	of	IN
cord-005496-cnwg4dnn	190	13	clinical	clinical	JJ
cord-005496-cnwg4dnn	190	14	information	information	NN
cord-005496-cnwg4dnn	190	15	to	to	TO
cord-005496-cnwg4dnn	190	16	expeditiously	expeditiously	RB
cord-005496-cnwg4dnn	190	17	reach	reach	VB
cord-005496-cnwg4dnn	190	18	a	a	DT
cord-005496-cnwg4dnn	190	19	diagnosis	diagnosis	NN
cord-005496-cnwg4dnn	190	20	and	and	CC
cord-005496-cnwg4dnn	190	21	decide	decide	VB
cord-005496-cnwg4dnn	190	22	on	on	IN
cord-005496-cnwg4dnn	190	23	treatment	treatment	NN
cord-005496-cnwg4dnn	190	24	options	option	NNS
cord-005496-cnwg4dnn	190	25	.	.	.
cord-005496-cnwg4dnn	191	1	In	in	IN
cord-005496-cnwg4dnn	191	2	the	the	DT
cord-005496-cnwg4dnn	191	3	data	data	NN
cord-005496-cnwg4dnn	191	4	-	-	HYPH
cord-005496-cnwg4dnn	191	5	intensive	intensive	JJ
cord-005496-cnwg4dnn	191	6	environment	environment	NN
cord-005496-cnwg4dnn	191	7	of	of	IN
cord-005496-cnwg4dnn	191	8	today	today	NN
cord-005496-cnwg4dnn	191	9	's	's	POS
cord-005496-cnwg4dnn	191	10	ICUs	icus	NN
cord-005496-cnwg4dnn	191	11	,	,	,
cord-005496-cnwg4dnn	191	12	however	however	RB
cord-005496-cnwg4dnn	191	13	,	,	,
cord-005496-cnwg4dnn	191	14	intensivists	intensivists	NNP
cord-005496-cnwg4dnn	191	15	must	must	MD
cord-005496-cnwg4dnn	191	16	cope	cope	VB
cord-005496-cnwg4dnn	191	17	with	with	IN
cord-005496-cnwg4dnn	191	18	a	a	DT
cord-005496-cnwg4dnn	191	19	relentless	relentless	JJ
cord-005496-cnwg4dnn	191	20	flow	flow	NN
cord-005496-cnwg4dnn	191	21	of	of	IN
cord-005496-cnwg4dnn	191	22	information	information	NN
cord-005496-cnwg4dnn	191	23	,	,	,
cord-005496-cnwg4dnn	191	24	some	some	DT
cord-005496-cnwg4dnn	191	25	of	of	IN
cord-005496-cnwg4dnn	191	26	it	-PRON-	PRP
cord-005496-cnwg4dnn	191	27	useful	useful	JJ
cord-005496-cnwg4dnn	191	28	,	,	,
cord-005496-cnwg4dnn	191	29	most	most	JJS
cord-005496-cnwg4dnn	191	30	of	of	IN
cord-005496-cnwg4dnn	191	31	it	-PRON-	PRP
cord-005496-cnwg4dnn	191	32	not	not	RB
cord-005496-cnwg4dnn	191	33	.	.	.
cord-005496-cnwg4dnn	192	1	According	accord	VBG
cord-005496-cnwg4dnn	192	2	to	to	IN
cord-005496-cnwg4dnn	192	3	a	a	DT
cord-005496-cnwg4dnn	192	4	thoughtful	thoughtful	JJ
cord-005496-cnwg4dnn	192	5	essay	essay	NN
cord-005496-cnwg4dnn	192	6	by	by	IN
cord-005496-cnwg4dnn	192	7	Alan	Alan	NNP
cord-005496-cnwg4dnn	192	8	Morris	Morris	NNP
cord-005496-cnwg4dnn	192	9	[	[	-LRB-
cord-005496-cnwg4dnn	192	10	48	48	CD
cord-005496-cnwg4dnn	192	11	]	]	-RRB-
cord-005496-cnwg4dnn	192	12	,	,	,
cord-005496-cnwg4dnn	192	13	intensivists	intensivists	NNP
cord-005496-cnwg4dnn	192	14	must	must	MD
cord-005496-cnwg4dnn	192	15	contend	contend	VB
cord-005496-cnwg4dnn	192	16	with	with	IN
cord-005496-cnwg4dnn	192	17	no	no	DT
cord-005496-cnwg4dnn	192	18	less	less	JJR
cord-005496-cnwg4dnn	192	19	than	than	IN
cord-005496-cnwg4dnn	192	20	236	236	CD
cord-005496-cnwg4dnn	192	21	variables	variable	NNS
cord-005496-cnwg4dnn	192	22	when	when	WRB
cord-005496-cnwg4dnn	192	23	caring	care	VBG
cord-005496-cnwg4dnn	192	24	for	for	IN
cord-005496-cnwg4dnn	192	25	patients	patient	NNS
cord-005496-cnwg4dnn	192	26	on	on	IN
cord-005496-cnwg4dnn	192	27	ventilatory	ventilatory	JJ
cord-005496-cnwg4dnn	192	28	support	support	NN
cord-005496-cnwg4dnn	192	29	.	.	.
cord-005496-cnwg4dnn	193	1	The	the	DT
cord-005496-cnwg4dnn	193	2	ability	ability	NN
cord-005496-cnwg4dnn	193	3	to	to	TO
cord-005496-cnwg4dnn	193	4	catalog	catalog	VB
cord-005496-cnwg4dnn	193	5	,	,	,
cord-005496-cnwg4dnn	193	6	correlate	correlate	VB
cord-005496-cnwg4dnn	193	7	,	,	,
cord-005496-cnwg4dnn	193	8	and	and	CC
cord-005496-cnwg4dnn	193	9	classify	classify	VB
cord-005496-cnwg4dnn	193	10	these	these	DT
cord-005496-cnwg4dnn	193	11	variables	variable	NNS
cord-005496-cnwg4dnn	193	12	on	on	IN
cord-005496-cnwg4dnn	193	13	a	a	DT
cord-005496-cnwg4dnn	193	14	continuous	continuous	JJ
cord-005496-cnwg4dnn	193	15	basis	basis	NN
cord-005496-cnwg4dnn	193	16	lies	lie	VBZ
cord-005496-cnwg4dnn	193	17	well	well	RB
cord-005496-cnwg4dnn	193	18	beyond	beyond	IN
cord-005496-cnwg4dnn	193	19	the	the	DT
cord-005496-cnwg4dnn	193	20	capabilities	capability	NNS
cord-005496-cnwg4dnn	193	21	of	of	IN
cord-005496-cnwg4dnn	193	22	even	even	RB
cord-005496-cnwg4dnn	193	23	the	the	DT
cord-005496-cnwg4dnn	193	24	most	most	RBS
cord-005496-cnwg4dnn	193	25	knowledgeable	knowledgeable	JJ
cord-005496-cnwg4dnn	193	26	and	and	CC
cord-005496-cnwg4dnn	193	27	perceptive	perceptive	JJ
cord-005496-cnwg4dnn	193	28	of	of	IN
cord-005496-cnwg4dnn	193	29	clinicians	clinician	NNS
cord-005496-cnwg4dnn	193	30	.	.	.
cord-005496-cnwg4dnn	194	1	The	the	DT
cord-005496-cnwg4dnn	194	2	judicious	judicious	JJ
cord-005496-cnwg4dnn	194	3	application	application	NN
cord-005496-cnwg4dnn	194	4	of	of	IN
cord-005496-cnwg4dnn	194	5	AI	AI	NNP
cord-005496-cnwg4dnn	194	6	technology	technology	NN
cord-005496-cnwg4dnn	194	7	can	can	MD
cord-005496-cnwg4dnn	194	8	be	be	VB
cord-005496-cnwg4dnn	194	9	of	of	IN
cord-005496-cnwg4dnn	194	10	assistance	assistance	NN
cord-005496-cnwg4dnn	194	11	in	in	IN
cord-005496-cnwg4dnn	194	12	helping	help	VBG
cord-005496-cnwg4dnn	194	13	us	-PRON-	PRP
cord-005496-cnwg4dnn	194	14	deal	deal	VB
cord-005496-cnwg4dnn	194	15	with	with	IN
cord-005496-cnwg4dnn	194	16	information	information	NN
cord-005496-cnwg4dnn	194	17	overload	overload	NN
cord-005496-cnwg4dnn	194	18	.	.	.
cord-005496-cnwg4dnn	195	1	Machine	machine	NN
cord-005496-cnwg4dnn	195	2	learning	learn	VBG
cord-005496-cnwg4dnn	195	3	algorithms	algorithm	NNS
cord-005496-cnwg4dnn	195	4	have	have	VBP
cord-005496-cnwg4dnn	195	5	been	be	VBN
cord-005496-cnwg4dnn	195	6	used	use	VBN
cord-005496-cnwg4dnn	195	7	to	to	TO
cord-005496-cnwg4dnn	195	8	analyze	analyze	VB
cord-005496-cnwg4dnn	195	9	data	datum	NNS
cord-005496-cnwg4dnn	195	10	stored	store	VBN
cord-005496-cnwg4dnn	195	11	in	in	IN
cord-005496-cnwg4dnn	195	12	electronic	electronic	JJ
cord-005496-cnwg4dnn	195	13	medical	medical	JJ
cord-005496-cnwg4dnn	195	14	records	record	NNS
cord-005496-cnwg4dnn	195	15	to	to	TO
cord-005496-cnwg4dnn	195	16	predict	predict	VB
cord-005496-cnwg4dnn	195	17	ICU	ICU	NNP
cord-005496-cnwg4dnn	195	18	mortality	mortality	NN
cord-005496-cnwg4dnn	195	19	and	and	CC
cord-005496-cnwg4dnn	195	20	length	length	NN
cord-005496-cnwg4dnn	195	21	of	of	IN
cord-005496-cnwg4dnn	195	22	stay	stay	NN
cord-005496-cnwg4dnn	195	23	.	.	.
cord-005496-cnwg4dnn	196	1	They	-PRON-	PRP
cord-005496-cnwg4dnn	196	2	also	also	RB
cord-005496-cnwg4dnn	196	3	have	have	VBP
cord-005496-cnwg4dnn	196	4	furthered	further	VBN
cord-005496-cnwg4dnn	196	5	our	-PRON-	PRP$
cord-005496-cnwg4dnn	196	6	understanding	understanding	NN
cord-005496-cnwg4dnn	196	7	of	of	IN
cord-005496-cnwg4dnn	196	8	populations	population	NNS
cord-005496-cnwg4dnn	196	9	who	who	WP
cord-005496-cnwg4dnn	196	10	may	may	MD
cord-005496-cnwg4dnn	196	11	be	be	VB
cord-005496-cnwg4dnn	196	12	at	at	IN
cord-005496-cnwg4dnn	196	13	risk	risk	NN
cord-005496-cnwg4dnn	196	14	of	of	IN
cord-005496-cnwg4dnn	196	15	disease	disease	NN
cord-005496-cnwg4dnn	196	16	progression	progression	NN
cord-005496-cnwg4dnn	196	17	or	or	CC
cord-005496-cnwg4dnn	196	18	likely	likely	JJ
cord-005496-cnwg4dnn	196	19	to	to	TO
cord-005496-cnwg4dnn	196	20	experience	experience	VB
cord-005496-cnwg4dnn	196	21	medical	medical	JJ
cord-005496-cnwg4dnn	196	22	complications	complication	NNS
cord-005496-cnwg4dnn	196	23	.	.	.
cord-005496-cnwg4dnn	197	1	These	these	DT
cord-005496-cnwg4dnn	197	2	retrospective	retrospective	JJ
cord-005496-cnwg4dnn	197	3	studies	study	NNS
cord-005496-cnwg4dnn	197	4	,	,	,
cord-005496-cnwg4dnn	197	5	useful	useful	JJ
cord-005496-cnwg4dnn	197	6	as	as	IN
cord-005496-cnwg4dnn	197	7	they	-PRON-	PRP
cord-005496-cnwg4dnn	197	8	may	may	MD
cord-005496-cnwg4dnn	197	9	be	be	VB
cord-005496-cnwg4dnn	197	10	in	in	IN
cord-005496-cnwg4dnn	197	11	the	the	DT
cord-005496-cnwg4dnn	197	12	early	early	JJ
cord-005496-cnwg4dnn	197	13	identification	identification	NN
cord-005496-cnwg4dnn	197	14	and	and	CC
cord-005496-cnwg4dnn	197	15	stratification	stratification	NN
cord-005496-cnwg4dnn	197	16	of	of	IN
cord-005496-cnwg4dnn	197	17	patients	patient	NNS
cord-005496-cnwg4dnn	197	18	,	,	,
cord-005496-cnwg4dnn	197	19	represent	represent	VBP
cord-005496-cnwg4dnn	197	20	only	only	RB
cord-005496-cnwg4dnn	197	21	the	the	DT
cord-005496-cnwg4dnn	197	22	low	low	RB
cord-005496-cnwg4dnn	197	23	-	-	HYPH
cord-005496-cnwg4dnn	197	24	lying	lie	VBG
cord-005496-cnwg4dnn	197	25	fruit	fruit	NN
cord-005496-cnwg4dnn	197	26	in	in	IN
cord-005496-cnwg4dnn	197	27	AI	AI	NNP
cord-005496-cnwg4dnn	197	28	research	research	NN
cord-005496-cnwg4dnn	197	29	.	.	.
cord-005496-cnwg4dnn	198	1	A	a	DT
cord-005496-cnwg4dnn	198	2	more	more	RBR
cord-005496-cnwg4dnn	198	3	difficult	difficult	JJ
cord-005496-cnwg4dnn	198	4	task	task	NN
cord-005496-cnwg4dnn	198	5	,	,	,
cord-005496-cnwg4dnn	198	6	but	but	CC
cord-005496-cnwg4dnn	198	7	perhaps	perhaps	RB
cord-005496-cnwg4dnn	198	8	one	one	CD
cord-005496-cnwg4dnn	198	9	with	with	IN
cord-005496-cnwg4dnn	198	10	far	far	RB
cord-005496-cnwg4dnn	198	11	greater	great	JJR
cord-005496-cnwg4dnn	198	12	potential	potential	NN
cord-005496-cnwg4dnn	198	13	,	,	,
cord-005496-cnwg4dnn	198	14	is	be	VBZ
cord-005496-cnwg4dnn	198	15	the	the	DT
cord-005496-cnwg4dnn	198	16	development	development	NN
cord-005496-cnwg4dnn	198	17	of	of	IN
cord-005496-cnwg4dnn	198	18	intelligent	intelligent	JJ
cord-005496-cnwg4dnn	198	19	machine	machine	NN
cord-005496-cnwg4dnn	198	20	learning	learn	VBG
cord-005496-cnwg4dnn	198	21	monitors	monitor	NNS
cord-005496-cnwg4dnn	198	22	capable	capable	JJ
cord-005496-cnwg4dnn	198	23	of	of	IN
cord-005496-cnwg4dnn	198	24	continuously	continuously	RB
cord-005496-cnwg4dnn	198	25	assessing	assess	VBG
cord-005496-cnwg4dnn	198	26	the	the	DT
cord-005496-cnwg4dnn	198	27	human	human	JJ
cord-005496-cnwg4dnn	198	28	response	response	NN
cord-005496-cnwg4dnn	198	29	to	to	IN
cord-005496-cnwg4dnn	198	30	critical	critical	JJ
cord-005496-cnwg4dnn	198	31	illness	illness	NN
cord-005496-cnwg4dnn	198	32	with	with	IN
cord-005496-cnwg4dnn	198	33	a	a	DT
cord-005496-cnwg4dnn	198	34	high	high	JJ
cord-005496-cnwg4dnn	198	35	degree	degree	NN
cord-005496-cnwg4dnn	198	36	of	of	IN
cord-005496-cnwg4dnn	198	37	certainty	certainty	NN
cord-005496-cnwg4dnn	198	38	.	.	.
cord-005496-cnwg4dnn	199	1	The	the	DT
cord-005496-cnwg4dnn	199	2	development	development	NN
cord-005496-cnwg4dnn	199	3	of	of	IN
cord-005496-cnwg4dnn	199	4	such	such	JJ
cord-005496-cnwg4dnn	199	5	monitors	monitor	NNS
cord-005496-cnwg4dnn	199	6	will	will	MD
cord-005496-cnwg4dnn	199	7	provide	provide	VB
cord-005496-cnwg4dnn	199	8	the	the	DT
cord-005496-cnwg4dnn	199	9	knowledge	knowledge	NN
cord-005496-cnwg4dnn	199	10	and	and	CC
cord-005496-cnwg4dnn	199	11	experience	experience	NN
cord-005496-cnwg4dnn	199	12	needed	need	VBN
cord-005496-cnwg4dnn	199	13	for	for	IN
cord-005496-cnwg4dnn	199	14	the	the	DT
cord-005496-cnwg4dnn	199	15	creation	creation	NN
cord-005496-cnwg4dnn	199	16	of	of	IN
cord-005496-cnwg4dnn	199	17	the	the	DT
cord-005496-cnwg4dnn	199	18	semi	semi	JJ
cord-005496-cnwg4dnn	199	19	-	-	JJ
cord-005496-cnwg4dnn	199	20	autonomous	autonomous	JJ
cord-005496-cnwg4dnn	199	21	ICU	ICU	NNP
cord-005496-cnwg4dnn	199	22	,	,	,
cord-005496-cnwg4dnn	199	23	an	an	DT
cord-005496-cnwg4dnn	199	24	environment	environment	NN
cord-005496-cnwg4dnn	199	25	where	where	WRB
cord-005496-cnwg4dnn	199	26	intelligent	intelligent	JJ
cord-005496-cnwg4dnn	199	27	machines	machine	NNS
cord-005496-cnwg4dnn	199	28	provide	provide	VBP
cord-005496-cnwg4dnn	199	29	most	most	JJS
cord-005496-cnwg4dnn	199	30	of	of	IN
cord-005496-cnwg4dnn	199	31	the	the	DT
cord-005496-cnwg4dnn	199	32	care	care	NN
cord-005496-cnwg4dnn	199	33	delivered	deliver	VBN
cord-005496-cnwg4dnn	199	34	today	today	NN
cord-005496-cnwg4dnn	199	35	by	by	IN
cord-005496-cnwg4dnn	199	36	humans	human	NNS
cord-005496-cnwg4dnn	199	37	.	.	.
cord-005496-cnwg4dnn	200	1	The	the	DT
cord-005496-cnwg4dnn	200	2	full	full	JJ
cord-005496-cnwg4dnn	200	3	potential	potential	NN
cord-005496-cnwg4dnn	200	4	of	of	IN
cord-005496-cnwg4dnn	200	5	AI	AI	NNP
cord-005496-cnwg4dnn	200	6	will	will	MD
cord-005496-cnwg4dnn	200	7	be	be	VB
cord-005496-cnwg4dnn	200	8	realized	realize	VBN
cord-005496-cnwg4dnn	200	9	once	once	IN
cord-005496-cnwg4dnn	200	10	it	-PRON-	PRP
cord-005496-cnwg4dnn	200	11	becomes	become	VBZ
cord-005496-cnwg4dnn	200	12	a	a	DT
cord-005496-cnwg4dnn	200	13	trustworthy	trustworthy	JJ
cord-005496-cnwg4dnn	200	14	clinical	clinical	JJ
cord-005496-cnwg4dnn	200	15	adjunct	adjunct	NN
cord-005496-cnwg4dnn	200	16	to	to	IN
cord-005496-cnwg4dnn	200	17	intensivists	intensivists	NNP
cord-005496-cnwg4dnn	200	18	.	.	.
cord-005496-cnwg4dnn	201	1	By	by	IN
cord-005496-cnwg4dnn	201	2	helping	help	VBG
cord-005496-cnwg4dnn	201	3	us	-PRON-	PRP
cord-005496-cnwg4dnn	201	4	cope	cope	VB
cord-005496-cnwg4dnn	201	5	with	with	IN
cord-005496-cnwg4dnn	201	6	information	information	NN
cord-005496-cnwg4dnn	201	7	overload	overload	NN
cord-005496-cnwg4dnn	201	8	,	,	,
cord-005496-cnwg4dnn	201	9	AI	AI	NNP
cord-005496-cnwg4dnn	201	10	endowed	endowed	JJ
cord-005496-cnwg4dnn	201	11	machines	machine	NNS
cord-005496-cnwg4dnn	201	12	may	may	MD
cord-005496-cnwg4dnn	201	13	allow	allow	VB
cord-005496-cnwg4dnn	201	14	our	-PRON-	PRP$
cord-005496-cnwg4dnn	201	15	faculties	faculty	NNS
cord-005496-cnwg4dnn	201	16	of	of	IN
cord-005496-cnwg4dnn	201	17	reflection	reflection	NN
cord-005496-cnwg4dnn	201	18	,	,	,
cord-005496-cnwg4dnn	201	19	imagination	imagination	NN
cord-005496-cnwg4dnn	201	20	,	,	,
cord-005496-cnwg4dnn	201	21	and	and	CC
cord-005496-cnwg4dnn	201	22	compassion	compassion	NN
cord-005496-cnwg4dnn	201	23	to	to	TO
cord-005496-cnwg4dnn	201	24	come	come	VB
cord-005496-cnwg4dnn	201	25	to	to	IN
cord-005496-cnwg4dnn	201	26	the	the	DT
cord-005496-cnwg4dnn	201	27	fore	fore	NN
cord-005496-cnwg4dnn	201	28	when	when	WRB
cord-005496-cnwg4dnn	201	29	caring	care	VBG
cord-005496-cnwg4dnn	201	30	for	for	IN
cord-005496-cnwg4dnn	201	31	fellow	fellow	JJ
cord-005496-cnwg4dnn	201	32	humans	human	NNS
cord-005496-cnwg4dnn	201	33	in	in	IN
cord-005496-cnwg4dnn	201	34	distress	distress	NN
cord-005496-cnwg4dnn	201	35	.	.	.
cord-005496-cnwg4dnn	202	1	The	the	DT
cord-005496-cnwg4dnn	202	2	future	future	NN
cord-005496-cnwg4dnn	202	3	of	of	IN
cord-005496-cnwg4dnn	202	4	AI	AI	NNP
cord-005496-cnwg4dnn	202	5	in	in	IN
cord-005496-cnwg4dnn	202	6	the	the	DT
cord-005496-cnwg4dnn	202	7	ICU	ICU	NNP
cord-005496-cnwg4dnn	202	8	is	be	VBZ
cord-005496-cnwg4dnn	202	9	indeed	indeed	RB
cord-005496-cnwg4dnn	202	10	bright	bright	JJ
cord-005496-cnwg4dnn	202	11	.	.	.
cord-005496-cnwg4dnn	203	1	As	as	IN
cord-005496-cnwg4dnn	203	2	with	with	IN
cord-005496-cnwg4dnn	203	3	all	all	DT
cord-005496-cnwg4dnn	203	4	new	new	JJ
cord-005496-cnwg4dnn	203	5	technologies	technology	NNS
cord-005496-cnwg4dnn	203	6	,	,	,
cord-005496-cnwg4dnn	203	7	there	there	EX
cord-005496-cnwg4dnn	203	8	will	will	MD
cord-005496-cnwg4dnn	203	9	be	be	VB
cord-005496-cnwg4dnn	203	10	zealots	zealot	NNS
cord-005496-cnwg4dnn	203	11	and	and	CC
cord-005496-cnwg4dnn	203	12	pharisees	pharisees	NNPS
cord-005496-cnwg4dnn	203	13	,	,	,
cord-005496-cnwg4dnn	203	14	ups	up	NNS
cord-005496-cnwg4dnn	203	15	and	and	CC
cord-005496-cnwg4dnn	203	16	downs	down	NNS
cord-005496-cnwg4dnn	203	17	,	,	,
cord-005496-cnwg4dnn	203	18	elations	elation	NNS
cord-005496-cnwg4dnn	203	19	and	and	CC
cord-005496-cnwg4dnn	203	20	disappointments	disappointment	NNS
cord-005496-cnwg4dnn	203	21	,	,	,
cord-005496-cnwg4dnn	203	22	as	as	RB
cord-005496-cnwg4dnn	203	23	well	well	RB
cord-005496-cnwg4dnn	203	24	as	as	IN
cord-005496-cnwg4dnn	203	25	thorny	thorny	JJ
cord-005496-cnwg4dnn	203	26	ethical	ethical	JJ
cord-005496-cnwg4dnn	203	27	quandaries	quandary	NNS
cord-005496-cnwg4dnn	203	28	.	.	.
cord-005496-cnwg4dnn	204	1	I	-PRON-	PRP
cord-005496-cnwg4dnn	204	2	have	have	VBP
cord-005496-cnwg4dnn	204	3	no	no	DT
cord-005496-cnwg4dnn	204	4	doubt	doubt	NN
cord-005496-cnwg4dnn	204	5	,	,	,
cord-005496-cnwg4dnn	204	6	however	however	RB
cord-005496-cnwg4dnn	204	7	,	,	,
cord-005496-cnwg4dnn	204	8	that	that	IN
cord-005496-cnwg4dnn	204	9	AI	AI	NNP
cord-005496-cnwg4dnn	204	10	is	be	VBZ
cord-005496-cnwg4dnn	204	11	here	here	RB
cord-005496-cnwg4dnn	204	12	to	to	TO
cord-005496-cnwg4dnn	204	13	stay	stay	VB
cord-005496-cnwg4dnn	204	14	,	,	,
cord-005496-cnwg4dnn	204	15	and	and	CC
cord-005496-cnwg4dnn	204	16	it	-PRON-	PRP
cord-005496-cnwg4dnn	204	17	behooves	behooves	VBP
cord-005496-cnwg4dnn	204	18	us	-PRON-	PRP
cord-005496-cnwg4dnn	204	19	to	to	TO
cord-005496-cnwg4dnn	204	20	become	become	VB
cord-005496-cnwg4dnn	204	21	familiar	familiar	JJ
cord-005496-cnwg4dnn	204	22	with	with	IN
cord-005496-cnwg4dnn	204	23	this	this	DT
cord-005496-cnwg4dnn	204	24	technology	technology	NN
cord-005496-cnwg4dnn	204	25	for	for	IN
cord-005496-cnwg4dnn	204	26	the	the	DT
cord-005496-cnwg4dnn	204	27	betterment	betterment	NN
cord-005496-cnwg4dnn	204	28	of	of	IN
cord-005496-cnwg4dnn	204	29	our	-PRON-	PRP$
cord-005496-cnwg4dnn	204	30	patients	patient	NNS
cord-005496-cnwg4dnn	204	31	.	.	.
cord-005496-cnwg4dnn	205	1	Proposed	Proposed	NNP
cord-005496-cnwg4dnn	205	2	Regulatory	Regulatory	NNP
cord-005496-cnwg4dnn	205	3	Framework	Framework	NNP
cord-005496-cnwg4dnn	205	4	for	for	IN
cord-005496-cnwg4dnn	205	5	Modifications	modification	NNS
cord-005496-cnwg4dnn	205	6	to	to	IN
cord-005496-cnwg4dnn	205	7	Artificial	Artificial	NNP
cord-005496-cnwg4dnn	205	8	Intelligence/	Intelligence/	NNP
cord-005496-cnwg4dnn	205	9	Machine	machine	NN
cord-005496-cnwg4dnn	205	10	Learning	Learning	NNP
cord-005496-cnwg4dnn	205	11	(	(	-LRB-
cord-005496-cnwg4dnn	205	12	AI	AI	NNP
cord-005496-cnwg4dnn	205	13	/	/	SYM
cord-005496-cnwg4dnn	205	14	ML)-Based	ML)-Based	NNP
cord-005496-cnwg4dnn	205	15	Software	Software	NNP
cord-005496-cnwg4dnn	205	16	as	as	IN
cord-005496-cnwg4dnn	205	17	a	a	DT
cord-005496-cnwg4dnn	205	18	Medical	Medical	NNP
cord-005496-cnwg4dnn	205	19	Device	device	NN
cord-005496-cnwg4dnn	205	20	(	(	-LRB-
cord-005496-cnwg4dnn	205	21	SaMD	samd	NN
cord-005496-cnwg4dnn	205	22	)	)	-RRB-
cord-005496-cnwg4dnn	206	1	Mainstream	mainstream	NN
cord-005496-cnwg4dnn	206	2	science	science	NN
cord-005496-cnwg4dnn	206	3	on	on	IN
cord-005496-cnwg4dnn	206	4	intelligence	intelligence	NN
cord-005496-cnwg4dnn	206	5	:	:	:
cord-005496-cnwg4dnn	206	6	an	an	DT
cord-005496-cnwg4dnn	206	7	editorial	editorial	NN
cord-005496-cnwg4dnn	206	8	with	with	IN
cord-005496-cnwg4dnn	206	9	52	52	CD
cord-005496-cnwg4dnn	206	10	signatories	signatory	NNS
cord-005496-cnwg4dnn	206	11	,	,	,
cord-005496-cnwg4dnn	206	12	history	history	NN
cord-005496-cnwg4dnn	206	13	,	,	,
cord-005496-cnwg4dnn	206	14	and	and	CC
cord-005496-cnwg4dnn	206	15	bibliography	bibliography	NN
cord-005496-cnwg4dnn	206	16	Chunks	Chunks	NNP
cord-005496-cnwg4dnn	206	17	in	in	IN
cord-005496-cnwg4dnn	206	18	expert	expert	JJ
cord-005496-cnwg4dnn	206	19	memory	memory	NN
cord-005496-cnwg4dnn	206	20	:	:	:
cord-005496-cnwg4dnn	206	21	evidence	evidence	NN
cord-005496-cnwg4dnn	206	22	for	for	IN
cord-005496-cnwg4dnn	206	23	the	the	DT
cord-005496-cnwg4dnn	206	24	magical	magical	JJ
cord-005496-cnwg4dnn	206	25	number	number	NN
cord-005496-cnwg4dnn	206	26	four	four	CD
cord-005496-cnwg4dnn	206	27	Integrated	Integrated	NNP
cord-005496-cnwg4dnn	206	28	computer	computer	NN
cord-005496-cnwg4dnn	206	29	systems	system	NNS
cord-005496-cnwg4dnn	206	30	for	for	IN
cord-005496-cnwg4dnn	206	31	monitoring	monitoring	NN
cord-005496-cnwg4dnn	206	32	of	of	IN
cord-005496-cnwg4dnn	206	33	the	the	DT
cord-005496-cnwg4dnn	206	34	critically	critically	RB
cord-005496-cnwg4dnn	206	35	ill	ill	JJ
cord-005496-cnwg4dnn	206	36	Assessment	Assessment	NNP
cord-005496-cnwg4dnn	206	37	of	of	IN
cord-005496-cnwg4dnn	206	38	the	the	DT
cord-005496-cnwg4dnn	206	39	ability	ability	NN
cord-005496-cnwg4dnn	206	40	to	to	TO
cord-005496-cnwg4dnn	206	41	manage	manage	VB
cord-005496-cnwg4dnn	206	42	patients	patient	NNS
cord-005496-cnwg4dnn	206	43	on	on	IN
cord-005496-cnwg4dnn	206	44	mechanical	mechanical	JJ
cord-005496-cnwg4dnn	206	45	ventilators	ventilator	NNS
cord-005496-cnwg4dnn	206	46	using	use	VBG
cord-005496-cnwg4dnn	206	47	a	a	DT
cord-005496-cnwg4dnn	206	48	computer	computer	NN
cord-005496-cnwg4dnn	206	49	model	model	NN
cord-005496-cnwg4dnn	206	50	A	a	DT
cord-005496-cnwg4dnn	206	51	microprocessor	microprocessor	NN
cord-005496-cnwg4dnn	206	52	based	base	VBN
cord-005496-cnwg4dnn	206	53	feedback	feedback	NN
cord-005496-cnwg4dnn	206	54	controller	controller	NN
cord-005496-cnwg4dnn	206	55	for	for	IN
cord-005496-cnwg4dnn	206	56	mechanical	mechanical	JJ
cord-005496-cnwg4dnn	206	57	ventilation	ventilation	NNP
cord-005496-cnwg4dnn	206	58	Computerized	Computerized	NNP
cord-005496-cnwg4dnn	206	59	management	management	NN
cord-005496-cnwg4dnn	206	60	of	of	IN
cord-005496-cnwg4dnn	206	61	patient	patient	JJ
cord-005496-cnwg4dnn	206	62	care	care	NN
cord-005496-cnwg4dnn	206	63	in	in	IN
cord-005496-cnwg4dnn	206	64	a	a	DT
cord-005496-cnwg4dnn	206	65	complex	complex	NN
cord-005496-cnwg4dnn	206	66	,	,	,
cord-005496-cnwg4dnn	206	67	controlled	control	VBN
cord-005496-cnwg4dnn	206	68	clinical	clinical	JJ
cord-005496-cnwg4dnn	206	69	trial	trial	NN
cord-005496-cnwg4dnn	206	70	in	in	IN
cord-005496-cnwg4dnn	206	71	the	the	DT
cord-005496-cnwg4dnn	206	72	intensive	intensive	JJ
cord-005496-cnwg4dnn	206	73	care	care	NN
cord-005496-cnwg4dnn	206	74	unit	unit	NN
cord-005496-cnwg4dnn	206	75	Performance	performance	NN
cord-005496-cnwg4dnn	206	76	of	of	IN
cord-005496-cnwg4dnn	206	77	computerized	computerized	JJ
cord-005496-cnwg4dnn	206	78	protocols	protocol	NNS
cord-005496-cnwg4dnn	206	79	for	for	IN
cord-005496-cnwg4dnn	206	80	the	the	DT
cord-005496-cnwg4dnn	206	81	management	management	NN
cord-005496-cnwg4dnn	206	82	of	of	IN
cord-005496-cnwg4dnn	206	83	arterial	arterial	JJ
cord-005496-cnwg4dnn	206	84	oxygenation	oxygenation	NN
cord-005496-cnwg4dnn	206	85	in	in	IN
cord-005496-cnwg4dnn	206	86	an	an	DT
cord-005496-cnwg4dnn	206	87	intensive	intensive	JJ
cord-005496-cnwg4dnn	206	88	care	care	NN
cord-005496-cnwg4dnn	206	89	unit	unit	NN
cord-005496-cnwg4dnn	206	90	Introduction	introduction	NN
cord-005496-cnwg4dnn	206	91	to	to	IN
cord-005496-cnwg4dnn	206	92	machine	machine	NN
cord-005496-cnwg4dnn	206	93	learning	learn	VBG
cord-005496-cnwg4dnn	206	94	with	with	IN
cord-005496-cnwg4dnn	206	95	Python	Python	NNP
cord-005496-cnwg4dnn	206	96	:	:	:
cord-005496-cnwg4dnn	206	97	a	a	DT
cord-005496-cnwg4dnn	206	98	guide	guide	NN
cord-005496-cnwg4dnn	206	99	for	for	IN
cord-005496-cnwg4dnn	206	100	data	datum	NNS
cord-005496-cnwg4dnn	206	101	scientists	scientist	NNS
cord-005496-cnwg4dnn	206	102	Piloting	pilot	VBG
cord-005496-cnwg4dnn	206	103	electronic	electronic	JJ
cord-005496-cnwg4dnn	206	104	medical	medical	JJ
cord-005496-cnwg4dnn	206	105	record	record	NN
cord-005496-cnwg4dnn	206	106	-	-	HYPH
cord-005496-cnwg4dnn	206	107	based	base	VBN
cord-005496-cnwg4dnn	206	108	early	early	JJ
cord-005496-cnwg4dnn	206	109	detection	detection	NN
cord-005496-cnwg4dnn	206	110	of	of	IN
cord-005496-cnwg4dnn	206	111	inpatient	inpatient	JJ
cord-005496-cnwg4dnn	206	112	deterioration	deterioration	NN
cord-005496-cnwg4dnn	206	113	in	in	IN
cord-005496-cnwg4dnn	206	114	community	community	NN
cord-005496-cnwg4dnn	206	115	hospitals	hospital	NNS
cord-005496-cnwg4dnn	206	116	Big	big	JJ
cord-005496-cnwg4dnn	206	117	data	datum	NNS
cord-005496-cnwg4dnn	206	118	and	and	CC
cord-005496-cnwg4dnn	206	119	machine	machine	NN
cord-005496-cnwg4dnn	206	120	learning	learn	VBG
cord-005496-cnwg4dnn	206	121	in	in	IN
cord-005496-cnwg4dnn	206	122	health	health	NN
cord-005496-cnwg4dnn	206	123	care	care	NN
cord-005496-cnwg4dnn	207	1	Artificial	artificial	JJ
cord-005496-cnwg4dnn	207	2	intelligence	intelligence	NN
cord-005496-cnwg4dnn	207	3	in	in	IN
cord-005496-cnwg4dnn	207	4	radiology	radiology	NN
cord-005496-cnwg4dnn	207	5	Deep	deep	JJ
cord-005496-cnwg4dnn	207	6	learning	learn	VBG
cord-005496-cnwg4dnn	207	7	as	as	IN
cord-005496-cnwg4dnn	207	8	a	a	DT
cord-005496-cnwg4dnn	207	9	tool	tool	NN
cord-005496-cnwg4dnn	207	10	for	for	IN
cord-005496-cnwg4dnn	207	11	increased	increased	JJ
cord-005496-cnwg4dnn	207	12	accuracy	accuracy	NN
cord-005496-cnwg4dnn	207	13	and	and	CC
cord-005496-cnwg4dnn	207	14	efficiency	efficiency	NN
cord-005496-cnwg4dnn	207	15	of	of	IN
cord-005496-cnwg4dnn	207	16	histopathological	histopathological	JJ
cord-005496-cnwg4dnn	207	17	diagnosis	diagnosis	NN
cord-005496-cnwg4dnn	207	18	Surgical	surgical	JJ
cord-005496-cnwg4dnn	207	19	robotics	robotic	NNS
cord-005496-cnwg4dnn	207	20	beyond	beyond	IN
cord-005496-cnwg4dnn	207	21	enhanced	enhance	VBN
cord-005496-cnwg4dnn	207	22	dexterity	dexterity	NN
cord-005496-cnwg4dnn	207	23	instrumentation	instrumentation	NN
cord-005496-cnwg4dnn	207	24	:	:	:
cord-005496-cnwg4dnn	207	25	a	a	DT
cord-005496-cnwg4dnn	207	26	survey	survey	NN
cord-005496-cnwg4dnn	207	27	of	of	IN
cord-005496-cnwg4dnn	207	28	machine	machine	NN
cord-005496-cnwg4dnn	207	29	learning	learning	NN
cord-005496-cnwg4dnn	207	30	techniques	technique	NNS
cord-005496-cnwg4dnn	207	31	and	and	CC
cord-005496-cnwg4dnn	207	32	their	-PRON-	PRP$
cord-005496-cnwg4dnn	207	33	role	role	NN
cord-005496-cnwg4dnn	207	34	in	in	IN
cord-005496-cnwg4dnn	207	35	intelligent	intelligent	JJ
cord-005496-cnwg4dnn	207	36	and	and	CC
cord-005496-cnwg4dnn	207	37	autonomous	autonomous	JJ
cord-005496-cnwg4dnn	207	38	surgical	surgical	JJ
cord-005496-cnwg4dnn	207	39	actions	action	NNS
cord-005496-cnwg4dnn	208	1	Artificial	artificial	JJ
cord-005496-cnwg4dnn	208	2	intelligence	intelligence	NN
cord-005496-cnwg4dnn	208	3	in	in	IN
cord-005496-cnwg4dnn	208	4	cardiology	cardiology	NN
cord-005496-cnwg4dnn	209	1	Using	use	VBG
cord-005496-cnwg4dnn	209	2	recurrent	recurrent	JJ
cord-005496-cnwg4dnn	209	3	neural	neural	JJ
cord-005496-cnwg4dnn	209	4	network	network	NN
cord-005496-cnwg4dnn	209	5	models	model	NNS
cord-005496-cnwg4dnn	209	6	for	for	IN
cord-005496-cnwg4dnn	209	7	early	early	JJ
cord-005496-cnwg4dnn	209	8	detection	detection	NN
cord-005496-cnwg4dnn	209	9	of	of	IN
cord-005496-cnwg4dnn	209	10	heart	heart	NN
cord-005496-cnwg4dnn	209	11	failure	failure	NN
cord-005496-cnwg4dnn	209	12	onset	onset	NN
cord-005496-cnwg4dnn	209	13	Image	image	NN
cord-005496-cnwg4dnn	209	14	-	-	HYPH
cord-005496-cnwg4dnn	209	15	based	base	VBN
cord-005496-cnwg4dnn	209	16	classification	classification	NN
cord-005496-cnwg4dnn	209	17	of	of	IN
cord-005496-cnwg4dnn	209	18	tumor	tumor	NN
cord-005496-cnwg4dnn	209	19	type	type	NN
cord-005496-cnwg4dnn	209	20	and	and	CC
cord-005496-cnwg4dnn	209	21	growth	growth	NN
cord-005496-cnwg4dnn	209	22	rate	rate	NN
cord-005496-cnwg4dnn	209	23	using	use	VBG
cord-005496-cnwg4dnn	209	24	machine	machine	NN
cord-005496-cnwg4dnn	209	25	learning	learning	NN
cord-005496-cnwg4dnn	209	26	:	:	:
cord-005496-cnwg4dnn	209	27	a	a	DT
cord-005496-cnwg4dnn	209	28	preclinical	preclinical	JJ
cord-005496-cnwg4dnn	209	29	study	study	NN
cord-005496-cnwg4dnn	209	30	Predictive	predictive	JJ
cord-005496-cnwg4dnn	209	31	modelling	modelling	NN
cord-005496-cnwg4dnn	209	32	of	of	IN
cord-005496-cnwg4dnn	209	33	survival	survival	NN
cord-005496-cnwg4dnn	209	34	and	and	CC
cord-005496-cnwg4dnn	209	35	length	length	NN
cord-005496-cnwg4dnn	209	36	of	of	IN
cord-005496-cnwg4dnn	209	37	stay	stay	NN
cord-005496-cnwg4dnn	209	38	in	in	IN
cord-005496-cnwg4dnn	209	39	critically	critically	RB
cord-005496-cnwg4dnn	209	40	ill	ill	JJ
cord-005496-cnwg4dnn	209	41	patients	patient	NNS
cord-005496-cnwg4dnn	209	42	using	use	VBG
cord-005496-cnwg4dnn	210	1	sequential	sequential	JJ
cord-005496-cnwg4dnn	210	2	organ	organ	NN
cord-005496-cnwg4dnn	210	3	failure	failure	NN
cord-005496-cnwg4dnn	210	4	scores	score	NNS
cord-005496-cnwg4dnn	210	5	ICU	ICU	NNP
cord-005496-cnwg4dnn	210	6	physicians	physician	NNS
cord-005496-cnwg4dnn	210	7	are	be	VBP
cord-005496-cnwg4dnn	210	8	unable	unable	JJ
cord-005496-cnwg4dnn	210	9	to	to	TO
cord-005496-cnwg4dnn	210	10	accurately	accurately	RB
cord-005496-cnwg4dnn	210	11	predict	predict	VB
cord-005496-cnwg4dnn	210	12	length	length	NN
cord-005496-cnwg4dnn	210	13	of	of	IN
cord-005496-cnwg4dnn	210	14	stay	stay	NN
cord-005496-cnwg4dnn	210	15	at	at	IN
cord-005496-cnwg4dnn	210	16	admission	admission	NN
cord-005496-cnwg4dnn	210	17	:	:	:
cord-005496-cnwg4dnn	210	18	a	a	DT
cord-005496-cnwg4dnn	210	19	prospective	prospective	JJ
cord-005496-cnwg4dnn	210	20	study	study	NN
cord-005496-cnwg4dnn	210	21	Improving	improve	VBG
cord-005496-cnwg4dnn	210	22	length	length	NN
cord-005496-cnwg4dnn	210	23	of	of	IN
cord-005496-cnwg4dnn	210	24	stay	stay	JJ
cord-005496-cnwg4dnn	210	25	prediction	prediction	NN
cord-005496-cnwg4dnn	210	26	using	use	VBG
cord-005496-cnwg4dnn	210	27	a	a	DT
cord-005496-cnwg4dnn	210	28	hidden	hide	VBN
cord-005496-cnwg4dnn	210	29	Markov	Markov	NNP
cord-005496-cnwg4dnn	210	30	model	model	NN
cord-005496-cnwg4dnn	210	31	Analysis	Analysis	NNP
cord-005496-cnwg4dnn	210	32	and	and	CC
cord-005496-cnwg4dnn	210	33	prediction	prediction	NN
cord-005496-cnwg4dnn	210	34	of	of	IN
cord-005496-cnwg4dnn	210	35	unplanned	unplanned	JJ
cord-005496-cnwg4dnn	210	36	intensive	intensive	JJ
cord-005496-cnwg4dnn	210	37	care	care	NN
cord-005496-cnwg4dnn	210	38	unit	unit	NN
cord-005496-cnwg4dnn	210	39	readmission	readmission	NN
cord-005496-cnwg4dnn	210	40	using	use	VBG
cord-005496-cnwg4dnn	210	41	recurrent	recurrent	JJ
cord-005496-cnwg4dnn	210	42	neural	neural	JJ
cord-005496-cnwg4dnn	210	43	networks	network	NNS
cord-005496-cnwg4dnn	210	44	with	with	IN
cord-005496-cnwg4dnn	210	45	lon	lon	NNP
cord-005496-cnwg4dnn	210	46	short	short	JJ
cord-005496-cnwg4dnn	210	47	term	term	NN
cord-005496-cnwg4dnn	210	48	memory	memory	NN
cord-005496-cnwg4dnn	210	49	Early	early	JJ
cord-005496-cnwg4dnn	210	50	hospital	hospital	NN
cord-005496-cnwg4dnn	210	51	mortality	mortality	NN
cord-005496-cnwg4dnn	210	52	prediction	prediction	NN
cord-005496-cnwg4dnn	210	53	of	of	IN
cord-005496-cnwg4dnn	210	54	intensive	intensive	JJ
cord-005496-cnwg4dnn	210	55	care	care	NN
cord-005496-cnwg4dnn	210	56	unit	unit	NN
cord-005496-cnwg4dnn	210	57	patients	patient	NNS
cord-005496-cnwg4dnn	210	58	using	use	VBG
cord-005496-cnwg4dnn	210	59	an	an	DT
cord-005496-cnwg4dnn	210	60	ensemble	ensemble	NN
cord-005496-cnwg4dnn	210	61	learning	learning	NN
cord-005496-cnwg4dnn	210	62	approach	approach	NN
cord-005496-cnwg4dnn	210	63	Predicting	predict	VBG
cord-005496-cnwg4dnn	210	64	hospital	hospital	NN
cord-005496-cnwg4dnn	210	65	mortality	mortality	NN
cord-005496-cnwg4dnn	210	66	for	for	IN
cord-005496-cnwg4dnn	210	67	intensive	intensive	JJ
cord-005496-cnwg4dnn	210	68	care	care	NN
cord-005496-cnwg4dnn	210	69	unit	unit	NN
cord-005496-cnwg4dnn	210	70	patients	patient	NNS
cord-005496-cnwg4dnn	210	71	:	:	:
cord-005496-cnwg4dnn	210	72	time	time	NN
cord-005496-cnwg4dnn	210	73	-	-	HYPH
cord-005496-cnwg4dnn	210	74	series	series	NN
cord-005496-cnwg4dnn	210	75	analysis	analysis	NN
cord-005496-cnwg4dnn	210	76	Artificial	artificial	JJ
cord-005496-cnwg4dnn	210	77	neural	neural	JJ
cord-005496-cnwg4dnn	210	78	networks	network	NNS
cord-005496-cnwg4dnn	210	79	improve	improve	VBP
cord-005496-cnwg4dnn	210	80	and	and	CC
cord-005496-cnwg4dnn	210	81	simplify	simplify	VB
cord-005496-cnwg4dnn	210	82	intensive	intensive	JJ
cord-005496-cnwg4dnn	210	83	care	care	NN
cord-005496-cnwg4dnn	210	84	mortality	mortality	NN
cord-005496-cnwg4dnn	210	85	prognostication	prognostication	NN
cord-005496-cnwg4dnn	210	86	:	:	:
cord-005496-cnwg4dnn	210	87	a	a	DT
cord-005496-cnwg4dnn	210	88	national	national	JJ
cord-005496-cnwg4dnn	210	89	cohort	cohort	NN
cord-005496-cnwg4dnn	210	90	study	study	NN
cord-005496-cnwg4dnn	210	91	of	of	IN
cord-005496-cnwg4dnn	210	92	217,289	217,289	CD
cord-005496-cnwg4dnn	210	93	first	first	JJ
cord-005496-cnwg4dnn	210	94	-	-	HYPH
cord-005496-cnwg4dnn	210	95	time	time	NN
cord-005496-cnwg4dnn	210	96	intensive	intensive	JJ
cord-005496-cnwg4dnn	210	97	care	care	NN
cord-005496-cnwg4dnn	210	98	unit	unit	NN
cord-005496-cnwg4dnn	210	99	admissions	admission	NNS
cord-005496-cnwg4dnn	210	100	Machine	machine	NN
cord-005496-cnwg4dnn	210	101	learning	learning	NN
cord-005496-cnwg4dnn	210	102	models	model	NNS
cord-005496-cnwg4dnn	210	103	of	of	IN
cord-005496-cnwg4dnn	210	104	survival	survival	NN
cord-005496-cnwg4dnn	210	105	prediction	prediction	NN
cord-005496-cnwg4dnn	210	106	in	in	IN
cord-005496-cnwg4dnn	210	107	trauma	trauma	NN
cord-005496-cnwg4dnn	210	108	patients	patient	NNS
cord-005496-cnwg4dnn	211	1	A	a	DT
cord-005496-cnwg4dnn	211	2	deep	deep	JJ
cord-005496-cnwg4dnn	211	3	learning	learning	NN
cord-005496-cnwg4dnn	211	4	model	model	NN
cord-005496-cnwg4dnn	211	5	for	for	IN
cord-005496-cnwg4dnn	211	6	real	real	JJ
cord-005496-cnwg4dnn	211	7	-	-	HYPH
cord-005496-cnwg4dnn	211	8	time	time	NN
cord-005496-cnwg4dnn	211	9	mortality	mortality	NN
cord-005496-cnwg4dnn	211	10	prediction	prediction	NN
cord-005496-cnwg4dnn	211	11	in	in	IN
cord-005496-cnwg4dnn	211	12	critically	critically	RB
cord-005496-cnwg4dnn	211	13	ill	ill	JJ
cord-005496-cnwg4dnn	211	14	children	child	NNS
cord-005496-cnwg4dnn	211	15	Predicting	predict	VBG
cord-005496-cnwg4dnn	211	16	tachycardia	tachycardia	NN
cord-005496-cnwg4dnn	211	17	as	as	IN
cord-005496-cnwg4dnn	211	18	a	a	DT
cord-005496-cnwg4dnn	211	19	surrogate	surrogate	NN
cord-005496-cnwg4dnn	211	20	for	for	IN
cord-005496-cnwg4dnn	211	21	instability	instability	NN
cord-005496-cnwg4dnn	211	22	in	in	IN
cord-005496-cnwg4dnn	211	23	the	the	DT
cord-005496-cnwg4dnn	211	24	intensive	intensive	JJ
cord-005496-cnwg4dnn	211	25	care	care	NN
cord-005496-cnwg4dnn	211	26	unit	unit	NN
cord-005496-cnwg4dnn	211	27	Predicting	predict	VBG
cord-005496-cnwg4dnn	211	28	vital	vital	JJ
cord-005496-cnwg4dnn	211	29	sign	sign	NN
cord-005496-cnwg4dnn	211	30	deterioration	deterioration	NN
cord-005496-cnwg4dnn	211	31	with	with	IN
cord-005496-cnwg4dnn	211	32	artificial	artificial	JJ
cord-005496-cnwg4dnn	211	33	intelligence	intelligence	NN
cord-005496-cnwg4dnn	211	34	or	or	CC
cord-005496-cnwg4dnn	211	35	machine	machine	NN
cord-005496-cnwg4dnn	211	36	learning	learn	VBG
cord-005496-cnwg4dnn	211	37	A	a	DT
cord-005496-cnwg4dnn	211	38	machine	machine	NN
cord-005496-cnwg4dnn	211	39	learning	learning	NN
cord-005496-cnwg4dnn	211	40	algorithm	algorithm	NN
cord-005496-cnwg4dnn	211	41	to	to	TO
cord-005496-cnwg4dnn	211	42	predict	predict	VB
cord-005496-cnwg4dnn	211	43	severe	severe	JJ
cord-005496-cnwg4dnn	211	44	sepsis	sepsis	NN
cord-005496-cnwg4dnn	211	45	and	and	CC
cord-005496-cnwg4dnn	211	46	septic	septic	JJ
cord-005496-cnwg4dnn	211	47	shock	shock	NN
cord-005496-cnwg4dnn	211	48	:	:	:
cord-005496-cnwg4dnn	211	49	development	development	NN
cord-005496-cnwg4dnn	211	50	,	,	,
cord-005496-cnwg4dnn	211	51	implementation	implementation	NN
cord-005496-cnwg4dnn	211	52	,	,	,
cord-005496-cnwg4dnn	211	53	and	and	CC
cord-005496-cnwg4dnn	211	54	impact	impact	NN
cord-005496-cnwg4dnn	211	55	on	on	IN
cord-005496-cnwg4dnn	211	56	clinical	clinical	JJ
cord-005496-cnwg4dnn	211	57	practice	practice	NN
cord-005496-cnwg4dnn	211	58	Development	development	NN
cord-005496-cnwg4dnn	211	59	and	and	CC
cord-005496-cnwg4dnn	211	60	performance	performance	NN
cord-005496-cnwg4dnn	211	61	of	of	IN
cord-005496-cnwg4dnn	211	62	the	the	DT
cord-005496-cnwg4dnn	211	63	pulmonary	pulmonary	JJ
cord-005496-cnwg4dnn	211	64	embolism	embolism	NN
cord-005496-cnwg4dnn	211	65	result	result	NN
cord-005496-cnwg4dnn	211	66	forecast	forecast	NN
cord-005496-cnwg4dnn	211	67	model	model	NN
cord-005496-cnwg4dnn	211	68	(	(	-LRB-
cord-005496-cnwg4dnn	211	69	PERFORM	perform	VB
cord-005496-cnwg4dnn	211	70	)	)	-RRB-
cord-005496-cnwg4dnn	211	71	for	for	IN
cord-005496-cnwg4dnn	211	72	computed	compute	VBN
cord-005496-cnwg4dnn	211	73	tomography	tomography	NN
cord-005496-cnwg4dnn	211	74	clinical	clinical	JJ
cord-005496-cnwg4dnn	211	75	decision	decision	NN
cord-005496-cnwg4dnn	211	76	support	support	NN
cord-005496-cnwg4dnn	211	77	Machine	machine	NN
cord-005496-cnwg4dnn	211	78	learning	learn	VBG
cord-005496-cnwg4dnn	211	79	for	for	IN
cord-005496-cnwg4dnn	211	80	patient	patient	JJ
cord-005496-cnwg4dnn	211	81	risk	risk	NN
cord-005496-cnwg4dnn	211	82	stratification	stratification	NN
cord-005496-cnwg4dnn	211	83	for	for	IN
cord-005496-cnwg4dnn	211	84	acute	acute	JJ
cord-005496-cnwg4dnn	211	85	respiratory	respiratory	JJ
cord-005496-cnwg4dnn	211	86	distress	distress	NN
cord-005496-cnwg4dnn	211	87	syndrome	syndrome	NN
cord-005496-cnwg4dnn	212	1	Artificial	artificial	JJ
cord-005496-cnwg4dnn	212	2	intelligence	intelligence	NN
cord-005496-cnwg4dnn	212	3	and	and	CC
cord-005496-cnwg4dnn	212	4	machine	machine	NN
cord-005496-cnwg4dnn	212	5	learning	learn	VBG
cord-005496-cnwg4dnn	212	6	for	for	IN
cord-005496-cnwg4dnn	212	7	predicting	predict	VBG
cord-005496-cnwg4dnn	212	8	acute	acute	JJ
cord-005496-cnwg4dnn	212	9	kidney	kidney	NN
cord-005496-cnwg4dnn	212	10	injury	injury	NN
cord-005496-cnwg4dnn	212	11	in	in	IN
cord-005496-cnwg4dnn	212	12	severely	severely	RB
cord-005496-cnwg4dnn	212	13	burned	burn	VBN
cord-005496-cnwg4dnn	212	14	patients	patient	NNS
cord-005496-cnwg4dnn	212	15	:	:	:
cord-005496-cnwg4dnn	212	16	a	a	DT
cord-005496-cnwg4dnn	212	17	proof	proof	NN
cord-005496-cnwg4dnn	212	18	of	of	IN
cord-005496-cnwg4dnn	212	19	concept	concept	NN
cord-005496-cnwg4dnn	212	20	Machine	machine	NN
cord-005496-cnwg4dnn	212	21	learning	learn	VBG
cord-005496-cnwg4dnn	212	22	versus	versus	IN
cord-005496-cnwg4dnn	212	23	physicians	physician	NNS
cord-005496-cnwg4dnn	212	24	'	'	POS
cord-005496-cnwg4dnn	212	25	prediction	prediction	NN
cord-005496-cnwg4dnn	212	26	of	of	IN
cord-005496-cnwg4dnn	212	27	acute	acute	JJ
cord-005496-cnwg4dnn	212	28	kidney	kidney	NN
cord-005496-cnwg4dnn	212	29	injury	injury	NN
cord-005496-cnwg4dnn	212	30	in	in	IN
cord-005496-cnwg4dnn	212	31	critically	critically	RB
cord-005496-cnwg4dnn	212	32	ill	ill	JJ
cord-005496-cnwg4dnn	212	33	adults	adult	NNS
cord-005496-cnwg4dnn	212	34	:	:	:
cord-005496-cnwg4dnn	212	35	a	a	DT
cord-005496-cnwg4dnn	212	36	prospective	prospective	JJ
cord-005496-cnwg4dnn	212	37	evaluation	evaluation	NN
cord-005496-cnwg4dnn	212	38	of	of	IN
cord-005496-cnwg4dnn	212	39	the	the	DT
cord-005496-cnwg4dnn	212	40	AKIpredictor	AKIpredictor	NNP
cord-005496-cnwg4dnn	212	41	Machine	Machine	NNP
cord-005496-cnwg4dnn	212	42	learning	learn	VBG
cord-005496-cnwg4dnn	212	43	for	for	IN
cord-005496-cnwg4dnn	212	44	the	the	DT
cord-005496-cnwg4dnn	212	45	prediction	prediction	NN
cord-005496-cnwg4dnn	212	46	of	of	IN
cord-005496-cnwg4dnn	212	47	volume	volume	NN
cord-005496-cnwg4dnn	212	48	responsiveness	responsiveness	NN
cord-005496-cnwg4dnn	212	49	in	in	IN
cord-005496-cnwg4dnn	212	50	patients	patient	NNS
cord-005496-cnwg4dnn	212	51	with	with	IN
cord-005496-cnwg4dnn	212	52	oliguric	oliguric	JJ
cord-005496-cnwg4dnn	212	53	acute	acute	JJ
cord-005496-cnwg4dnn	212	54	kidney	kidney	NN
cord-005496-cnwg4dnn	212	55	injury	injury	NN
cord-005496-cnwg4dnn	212	56	in	in	IN
cord-005496-cnwg4dnn	212	57	critical	critical	JJ
cord-005496-cnwg4dnn	212	58	care	care	NN
cord-005496-cnwg4dnn	212	59	Using	use	VBG
cord-005496-cnwg4dnn	212	60	machine	machine	NN
cord-005496-cnwg4dnn	212	61	learning	learning	NN
cord-005496-cnwg4dnn	212	62	and	and	CC
cord-005496-cnwg4dnn	212	63	the	the	DT
cord-005496-cnwg4dnn	212	64	electronic	electronic	JJ
cord-005496-cnwg4dnn	212	65	health	health	NN
cord-005496-cnwg4dnn	212	66	record	record	NN
cord-005496-cnwg4dnn	212	67	to	to	TO
cord-005496-cnwg4dnn	212	68	predict	predict	VB
cord-005496-cnwg4dnn	212	69	complicated	complicated	JJ
cord-005496-cnwg4dnn	212	70	Clostridium	clostridium	NN
cord-005496-cnwg4dnn	212	71	difficile	difficile	NN
cord-005496-cnwg4dnn	212	72	infection	infection	NN
cord-005496-cnwg4dnn	212	73	Patient	patient	NN
cord-005496-cnwg4dnn	212	74	-	-	HYPH
cord-005496-cnwg4dnn	212	75	ventilator	ventilator	NN
cord-005496-cnwg4dnn	212	76	asynchrony	asynchrony	NN
cord-005496-cnwg4dnn	212	77	during	during	IN
cord-005496-cnwg4dnn	212	78	assisted	assisted	JJ
cord-005496-cnwg4dnn	212	79	mechanical	mechanical	JJ
cord-005496-cnwg4dnn	212	80	ventilation	ventilation	NN
cord-005496-cnwg4dnn	212	81	Detecting	detect	VBG
cord-005496-cnwg4dnn	212	82	ineffective	ineffective	JJ
cord-005496-cnwg4dnn	212	83	triggering	triggering	NN
cord-005496-cnwg4dnn	212	84	in	in	IN
cord-005496-cnwg4dnn	212	85	the	the	DT
cord-005496-cnwg4dnn	212	86	expiratory	expiratory	JJ
cord-005496-cnwg4dnn	212	87	phase	phase	NN
cord-005496-cnwg4dnn	212	88	in	in	IN
cord-005496-cnwg4dnn	212	89	mechanically	mechanically	RB
cord-005496-cnwg4dnn	212	90	ventilated	ventilate	VBN
cord-005496-cnwg4dnn	212	91	patients	patient	NNS
cord-005496-cnwg4dnn	212	92	based	base	VBN
cord-005496-cnwg4dnn	212	93	on	on	IN
cord-005496-cnwg4dnn	212	94	airway	airway	NN
cord-005496-cnwg4dnn	212	95	flow	flow	NN
cord-005496-cnwg4dnn	212	96	and	and	CC
cord-005496-cnwg4dnn	212	97	pressure	pressure	NN
cord-005496-cnwg4dnn	212	98	deflection	deflection	NN
cord-005496-cnwg4dnn	212	99	:	:	:
cord-005496-cnwg4dnn	212	100	feasibility	feasibility	NN
cord-005496-cnwg4dnn	212	101	of	of	IN
cord-005496-cnwg4dnn	212	102	using	use	VBG
cord-005496-cnwg4dnn	212	103	a	a	DT
cord-005496-cnwg4dnn	212	104	computer	computer	NN
cord-005496-cnwg4dnn	212	105	algorithm	algorithm	NN
cord-005496-cnwg4dnn	212	106	Validation	validation	NN
cord-005496-cnwg4dnn	212	107	of	of	IN
cord-005496-cnwg4dnn	212	108	the	the	DT
cord-005496-cnwg4dnn	212	109	better	well	JJR
cord-005496-cnwg4dnn	212	110	care	care	NN
cord-005496-cnwg4dnn	212	111	®	®	,
cord-005496-cnwg4dnn	212	112	system	system	NN
cord-005496-cnwg4dnn	212	113	to	to	TO
cord-005496-cnwg4dnn	212	114	detect	detect	VB
cord-005496-cnwg4dnn	212	115	ineffective	ineffective	JJ
cord-005496-cnwg4dnn	212	116	efforts	effort	NNS
cord-005496-cnwg4dnn	212	117	during	during	IN
cord-005496-cnwg4dnn	212	118	expiration	expiration	NN
cord-005496-cnwg4dnn	212	119	in	in	IN
cord-005496-cnwg4dnn	212	120	mechanically	mechanically	RB
cord-005496-cnwg4dnn	212	121	ventilated	ventilate	VBN
cord-005496-cnwg4dnn	212	122	patients	patient	NNS
cord-005496-cnwg4dnn	212	123	:	:	:
cord-005496-cnwg4dnn	212	124	a	a	DT
cord-005496-cnwg4dnn	212	125	pilot	pilot	NN
cord-005496-cnwg4dnn	212	126	study	study	NN
cord-005496-cnwg4dnn	212	127	Predicting	predict	VBG
cord-005496-cnwg4dnn	212	128	patient	patient	NN
cord-005496-cnwg4dnn	212	129	-	-	HYPH
cord-005496-cnwg4dnn	212	130	ventilator	ventilator	NN
cord-005496-cnwg4dnn	212	131	asynchronies	asynchrony	NNS
cord-005496-cnwg4dnn	212	132	with	with	IN
cord-005496-cnwg4dnn	212	133	hidden	hide	VBN
cord-005496-cnwg4dnn	212	134	Markov	Markov	NNP
cord-005496-cnwg4dnn	212	135	models	model	NNS
cord-005496-cnwg4dnn	212	136	Creation	creation	NN
cord-005496-cnwg4dnn	212	137	of	of	IN
cord-005496-cnwg4dnn	212	138	a	a	DT
cord-005496-cnwg4dnn	212	139	robust	robust	JJ
cord-005496-cnwg4dnn	212	140	and	and	CC
cord-005496-cnwg4dnn	212	141	generalizable	generalizable	JJ
cord-005496-cnwg4dnn	212	142	machine	machine	NN
cord-005496-cnwg4dnn	212	143	learning	learn	VBG
cord-005496-cnwg4dnn	212	144	classifier	classifier	NN
cord-005496-cnwg4dnn	212	145	for	for	IN
cord-005496-cnwg4dnn	212	146	patient	patient	JJ
cord-005496-cnwg4dnn	212	147	ventilator	ventilator	NN
cord-005496-cnwg4dnn	212	148	asynchrony	asynchrony	NNP
cord-005496-cnwg4dnn	212	149	Development	Development	NNP
cord-005496-cnwg4dnn	212	150	and	and	CC
cord-005496-cnwg4dnn	212	151	validation	validation	NN
cord-005496-cnwg4dnn	212	152	of	of	IN
cord-005496-cnwg4dnn	212	153	a	a	DT
cord-005496-cnwg4dnn	212	154	multialgorithm	multialgorithm	NNP
cord-005496-cnwg4dnn	212	155	analytic	analytic	JJ
cord-005496-cnwg4dnn	212	156	platform	platform	NN
cord-005496-cnwg4dnn	212	157	to	to	TO
cord-005496-cnwg4dnn	212	158	detect	detect	VB
cord-005496-cnwg4dnn	212	159	off	off	RP
cord-005496-cnwg4dnn	212	160	-	-	HYPH
cord-005496-cnwg4dnn	212	161	target	target	NN
cord-005496-cnwg4dnn	212	162	mechanical	mechanical	JJ
cord-005496-cnwg4dnn	212	163	ventilation	ventilation	NN
cord-005496-cnwg4dnn	213	1	The	the	DT
cord-005496-cnwg4dnn	213	2	association	association	NN
cord-005496-cnwg4dnn	213	3	between	between	IN
cord-005496-cnwg4dnn	213	4	ventilator	ventilator	NNP
cord-005496-cnwg4dnn	213	5	dyssynchrony	dyssynchrony	NNP
cord-005496-cnwg4dnn	213	6	,	,	,
cord-005496-cnwg4dnn	213	7	delivered	deliver	VBD
cord-005496-cnwg4dnn	213	8	tidal	tidal	JJ
cord-005496-cnwg4dnn	213	9	volume	volume	NN
cord-005496-cnwg4dnn	213	10	,	,	,
cord-005496-cnwg4dnn	213	11	and	and	CC
cord-005496-cnwg4dnn	213	12	sedation	sedation	NN
cord-005496-cnwg4dnn	213	13	using	use	VBG
cord-005496-cnwg4dnn	213	14	a	a	DT
cord-005496-cnwg4dnn	213	15	novel	novel	JJ
cord-005496-cnwg4dnn	213	16	automated	automate	VBN
cord-005496-cnwg4dnn	213	17	ventilator	ventilator	NN
cord-005496-cnwg4dnn	213	18	dyssynchrony	dyssynchrony	NN
cord-005496-cnwg4dnn	213	19	detection	detection	NN
cord-005496-cnwg4dnn	213	20	algorithm	algorithm	NN
cord-005496-cnwg4dnn	213	21	Replicating	replicate	VBG
cord-005496-cnwg4dnn	213	22	human	human	JJ
cord-005496-cnwg4dnn	213	23	expertise	expertise	NN
cord-005496-cnwg4dnn	213	24	of	of	IN
cord-005496-cnwg4dnn	213	25	mechanical	mechanical	JJ
cord-005496-cnwg4dnn	213	26	ventilation	ventilation	NN
cord-005496-cnwg4dnn	213	27	waveform	waveform	NN
cord-005496-cnwg4dnn	213	28	analysis	analysis	NN
cord-005496-cnwg4dnn	213	29	in	in	IN
cord-005496-cnwg4dnn	213	30	detecting	detect	VBG
cord-005496-cnwg4dnn	213	31	patient	patient	NN
cord-005496-cnwg4dnn	213	32	-	-	HYPH
cord-005496-cnwg4dnn	213	33	ventilator	ventilator	NN
cord-005496-cnwg4dnn	213	34	cycling	cycling	NN
cord-005496-cnwg4dnn	213	35	asynchrony	asynchrony	NN
cord-005496-cnwg4dnn	213	36	using	use	VBG
cord-005496-cnwg4dnn	213	37	machine	machine	NN
cord-005496-cnwg4dnn	213	38	learning	learn	VBG
cord-005496-cnwg4dnn	213	39	Automated	automated	JJ
cord-005496-cnwg4dnn	213	40	detection	detection	NN
cord-005496-cnwg4dnn	213	41	of	of	IN
cord-005496-cnwg4dnn	213	42	asynchrony	asynchrony	NN
cord-005496-cnwg4dnn	213	43	in	in	IN
cord-005496-cnwg4dnn	213	44	patient	patient	NN
cord-005496-cnwg4dnn	213	45	-	-	HYPH
cord-005496-cnwg4dnn	213	46	ventilator	ventilator	NN
cord-005496-cnwg4dnn	213	47	interaction	interaction	NN
cord-005496-cnwg4dnn	213	48	Mat	Mat	NNP
cord-005496-cnwg4dnn	213	49	-	-	:
cord-005496-cnwg4dnn	213	50	Nor	nor	CC
cord-005496-cnwg4dnn	213	51	MB	mb	NN
cord-005496-cnwg4dnn	213	52	.	.	.
cord-005496-cnwg4dnn	214	1	A	a	DT
cord-005496-cnwg4dnn	214	2	machine	machine	NN
cord-005496-cnwg4dnn	214	3	learning	learning	NN
cord-005496-cnwg4dnn	214	4	model	model	NN
cord-005496-cnwg4dnn	214	5	for	for	IN
cord-005496-cnwg4dnn	214	6	real	real	JJ
cord-005496-cnwg4dnn	214	7	-	-	HYPH
cord-005496-cnwg4dnn	214	8	time	time	NN
cord-005496-cnwg4dnn	214	9	asynchronous	asynchronous	JJ
cord-005496-cnwg4dnn	214	10	breathing	breathing	NN
cord-005496-cnwg4dnn	214	11	monitoring	monitor	VBG
cord-005496-cnwg4dnn	214	12	Interobserver	Interobserver	NNP
cord-005496-cnwg4dnn	214	13	reliability	reliability	NN
cord-005496-cnwg4dnn	214	14	of	of	IN
cord-005496-cnwg4dnn	214	15	the	the	DT
cord-005496-cnwg4dnn	214	16	Berlin	Berlin	NNP
cord-005496-cnwg4dnn	214	17	ARDS	ARDS	NNP
cord-005496-cnwg4dnn	214	18	definition	definition	NN
cord-005496-cnwg4dnn	214	19	and	and	CC
cord-005496-cnwg4dnn	214	20	strategies	strategy	NNS
cord-005496-cnwg4dnn	214	21	to	to	TO
cord-005496-cnwg4dnn	214	22	improve	improve	VB
cord-005496-cnwg4dnn	214	23	the	the	DT
cord-005496-cnwg4dnn	214	24	reliability	reliability	NN
cord-005496-cnwg4dnn	214	25	of	of	IN
cord-005496-cnwg4dnn	214	26	ARDS	ARDS	NNP
cord-005496-cnwg4dnn	214	27	diagnosis	diagnosis	NN
cord-005496-cnwg4dnn	214	28	Agreement	Agreement	NNP
cord-005496-cnwg4dnn	214	29	among	among	IN
cord-005496-cnwg4dnn	214	30	clinicians	clinician	NNS
cord-005496-cnwg4dnn	214	31	in	in	IN
cord-005496-cnwg4dnn	214	32	the	the	DT
cord-005496-cnwg4dnn	214	33	recognition	recognition	NN
cord-005496-cnwg4dnn	214	34	of	of	IN
cord-005496-cnwg4dnn	214	35	patterns	pattern	NNS
cord-005496-cnwg4dnn	214	36	of	of	IN
cord-005496-cnwg4dnn	214	37	optic	optic	JJ
cord-005496-cnwg4dnn	214	38	disk	disk	NN
cord-005496-cnwg4dnn	214	39	damage	damage	NN
cord-005496-cnwg4dnn	214	40	in	in	IN
cord-005496-cnwg4dnn	214	41	glaucoma	glaucoma	NN
cord-005496-cnwg4dnn	214	42	Human	human	JJ
cord-005496-cnwg4dnn	214	43	cognitive	cognitive	JJ
cord-005496-cnwg4dnn	214	44	limitations	limitation	NNS
cord-005496-cnwg4dnn	214	45	.	.	.
cord-005496-cnwg4dnn	215	1	Broad	broad	JJ
cord-005496-cnwg4dnn	215	2	,	,	,
cord-005496-cnwg4dnn	215	3	consistent	consistent	JJ
cord-005496-cnwg4dnn	215	4	,	,	,
cord-005496-cnwg4dnn	215	5	clinical	clinical	JJ
cord-005496-cnwg4dnn	215	6	application	application	NN
cord-005496-cnwg4dnn	215	7	of	of	IN
cord-005496-cnwg4dnn	215	8	physiological	physiological	JJ
cord-005496-cnwg4dnn	215	9	principles	principle	NNS
cord-005496-cnwg4dnn	215	10	will	will	MD
cord-005496-cnwg4dnn	215	11	require	require	VB
cord-005496-cnwg4dnn	215	12	decision	decision	NN
cord-005496-cnwg4dnn	215	13	support	support	NN
cord-005496-cnwg4dnn	216	1	Publisher	publisher	NN
cord-005496-cnwg4dnn	216	2	's	's	POS
cord-005496-cnwg4dnn	216	3	Note	Note	NNP
cord-005496-cnwg4dnn	216	4	Springer	Springer	NNP
cord-005496-cnwg4dnn	216	5	Nature	Nature	NNP
cord-005496-cnwg4dnn	216	6	remains	remain	VBZ
cord-005496-cnwg4dnn	216	7	neutral	neutral	JJ
cord-005496-cnwg4dnn	216	8	with	with	IN
cord-005496-cnwg4dnn	216	9	regard	regard	NN
cord-005496-cnwg4dnn	216	10	to	to	IN
cord-005496-cnwg4dnn	216	11	jurisdictional	jurisdictional	JJ
cord-005496-cnwg4dnn	216	12	claims	claim	NNS
cord-005496-cnwg4dnn	216	13	in	in	IN
cord-005496-cnwg4dnn	216	14	published	publish	VBN
cord-005496-cnwg4dnn	216	15	maps	map	NNS
cord-005496-cnwg4dnn	216	16	and	and	CC
cord-005496-cnwg4dnn	216	17	institutional	institutional	JJ
cord-005496-cnwg4dnn	216	18	affiliations	affiliation	NNS
cord-005496-cnwg4dnn	216	19	None	none	NN
cord-005496-cnwg4dnn	216	20	.	.	.
cord-005496-cnwg4dnn	217	1	Author	author	NN
cord-005496-cnwg4dnn	217	2	's	's	POS
cord-005496-cnwg4dnn	217	3	contributions	contribution	NNS
cord-005496-cnwg4dnn	218	1	Single	single	JJ
cord-005496-cnwg4dnn	218	2	author	author	NN
cord-005496-cnwg4dnn	218	3	review	review	NN
cord-005496-cnwg4dnn	218	4	by	by	IN
cord-005496-cnwg4dnn	218	5	Guillermo	Guillermo	NNP
cord-005496-cnwg4dnn	218	6	Gutierrez	Gutierrez	NNP
cord-005496-cnwg4dnn	218	7	,	,	,
cord-005496-cnwg4dnn	218	8	MD	MD	NNP
cord-005496-cnwg4dnn	218	9	,	,	,
cord-005496-cnwg4dnn	218	10	PhD	PhD	NNP
cord-005496-cnwg4dnn	218	11	who	who	WP
cord-005496-cnwg4dnn	218	12	has	have	VBZ
cord-005496-cnwg4dnn	218	13	read	read	VBN
cord-005496-cnwg4dnn	218	14	and	and	CC
cord-005496-cnwg4dnn	218	15	approved	approve	VBN
cord-005496-cnwg4dnn	218	16	of	of	IN
cord-005496-cnwg4dnn	218	17	the	the	DT
cord-005496-cnwg4dnn	218	18	final	final	JJ
cord-005496-cnwg4dnn	218	19	manuscript	manuscript	NN
cord-005496-cnwg4dnn	218	20	.	.	.
cord-005496-cnwg4dnn	219	1	Availability	availability	NN
cord-005496-cnwg4dnn	219	2	of	of	IN
cord-005496-cnwg4dnn	219	3	data	datum	NNS
cord-005496-cnwg4dnn	219	4	and	and	CC
cord-005496-cnwg4dnn	219	5	materials	material	NNS
cord-005496-cnwg4dnn	219	6	Not	not	RB
cord-005496-cnwg4dnn	219	7	applicable	applicable	JJ
cord-005496-cnwg4dnn	219	8	.	.	.
cord-005496-cnwg4dnn	220	1	Ethics	ethic	NNS
cord-005496-cnwg4dnn	220	2	approval	approval	NN
cord-005496-cnwg4dnn	220	3	and	and	CC
cord-005496-cnwg4dnn	220	4	consent	consent	NN
cord-005496-cnwg4dnn	220	5	to	to	TO
cord-005496-cnwg4dnn	220	6	participate	participate	VB
cord-005496-cnwg4dnn	220	7	Not	not	RB
cord-005496-cnwg4dnn	220	8	applicable	applicable	JJ
cord-005496-cnwg4dnn	220	9	.	.	.
cord-005496-cnwg4dnn	221	1	Not	not	RB
cord-005496-cnwg4dnn	221	2	applicable	applicable	JJ
cord-005496-cnwg4dnn	221	3	.	.	.