quadgram

This is a table of type quadgram and their frequencies. Use it to search & browse the list to learn more about your study carrel.

quadgram	frequency
can be used to	192
in the context of	161
as well as the	151
in the case of	131
on the other hand	115
in the united states	98
the total number of	87
in the field of	82
in the form of	75
at the same time	74
it is important to	73
one of the most	69
a large number of	68
is one of the	63
on the basis of	63
it is possible to	63
at the time of	62
in addition to the	61
as a result of	60
to display the preprint	60
is the author funder	60
has granted medrxiv a	60
the copyright holder for	60
license to display the	60
medrxiv a license to	60
who has granted medrxiv	60
the spread of the	60
copyright holder for this	60
a license to display	60
granted medrxiv a license	60
display the preprint in	60
as part of the	59
a wide range of	57
the quality of the	56
has the potential to	55
severe acute respiratory syndrome	52
the purpose of this	52
of this study was	52
can be used for	51
in the absence of	51
this study was to	51
the results of the	48
to be able to	47
has been shown to	46
that can be used	46
u r n a	45
n a l p	45
j o u r	45
r o o f	45
r n a l	45
p r o o	45
l p r e	45
were more likely to	45
a l p r	45
o u r n	45
the size of the	44
is based on the	44
of the number of	43
the impact of the	43
the internet of things	42
in terms of the	41
disease control and prevention	41
the rest of the	41
for disease control and	41
it is made available	40
as shown in fig	40
when it comes to	40
on the use of	39
international license it is	39
license it is made	39
is made available under	39
made available under a	39
the world health organization	39
can be found in	38
been shown to be	38
with respect to the	37
the context of the	37
the end of the	37
the west african ebola	36
can be applied to	36
in the number of	36
holder for this preprint	36
the preprint in perpetuity	36
it is necessary to	36
in the development of	36
centers for disease control	35
in the emergency department	35
the extent to which	35
there is a need	35
for the purpose of	34
the use of the	34
for each of the	34
in the area of	34
the performance of the	33
of this study is	33
under a is the	33
and the number of	33
a is the author	33
available under a is	33
was found to be	33
preprint this version posted	32
which was not certified	32
an important role in	32
not certified by peer	32
certified by peer review	32
the accuracy of the	32
for this preprint this	32
was not certified by	32
this preprint this version	32
of mobile phone data	31
as one of the	31
have been shown to	31
the beginning of the	31
have been used to	31
were included in the	31
are more likely to	31
this study is to	31
a systematic review of	30
to ensure that the	30
the nature of the	30
can also be used	30
west african ebola epidemic	30
processing of personal data	30
at the end of	30
little is known about	30
the number of cases	30
the fact that the	29
that there is a	29
with the help of	29
the use of ai	29
the aim of this	29
as part of a	29
to the number of	29
in the face of	29
it is difficult to	28
the spread of covid	28
more likely to be	28
purpose of this study	28
as well as to	28
for the development of	28
a convenience sample of	27
health and medical research	27
in the real world	27
it is clear that	27
can be used in	27
on the one hand	27
on the number of	26
with the use of	26
the objective of this	26
have the potential to	26
a systematic review and	26
during the study period	26
spread of the virus	26
the purpose of the	26
is the number of	26
the development of a	25
over the course of	25
patients presenting to the	25
a broad range of	25
the use of a	25
as shown in figure	25
to be associated with	25
a small number of	24
that need to be	24
this this version posted	24
were found to be	24
of this paper is	24
aim of this study	24
holder for this this	24
presenting to the ed	24
this version posted september	24
have been developed to	24
is shown in figure	24
objective of this study	24
a better understanding of	24
to deal with the	24
data can be used	24
systematic review and meta	24
the aim of the	24
the evolution of the	24
level i trauma center	24
used to estimate the	24
the complexity of the	24
preprint the copyright holder	24
for this this version	24
also be used to	23
an overview of the	23
the course of the	23
one of the main	23
the number of people	23
state of the art	23
using mobile phone data	23
at the level of	23
in the use of	23
a large amount of	23
it should be noted	23
ffi ffi ffi ffi	23
the start of the	23
the state of the	23
through the use of	23
as a part of	23
sensitivity and specificity of	22
in the process of	22
there was no difference	22
used to evaluate the	22
large amounts of data	22
a wide variety of	22
a review of the	22
this was a prospective	22
the characteristics of the	22
as the number of	22
the role of the	22
the scope of the	21
the amount of data	21
as a function of	21
in the near future	21
at the university of	21
should be noted that	21
the processing of personal	21
as well as a	21
to the lack of	21
an increased risk of	21
a total of patients	21
one of the major	21
that the number of	21
may need to be	21
the case of the	21
in the same way	21
the structure of the	21
the analysis of the	21
in a way that	21
the need for a	20
in new york city	20
it is possible that	20
the goal of this	20
the primary outcome was	20
is likely to be	20
a systematic literature review	20
between the two groups	20
the relationship between the	20
to the ed with	20
the majority of the	20
the data from the	20
for the detection of	20
and the use of	20
was not associated with	20
a high level of	19
for the use of	19
mobile phone data for	19
food and drug administration	19
the sensitivity and specificity	19
in the presence of	19
for the analysis of	19
the effectiveness of the	19
mental health services research	19
for public health surveillance	19
one of the first	19
to the emergency department	19
is a need to	19
be used as a	19
of the novel coronavirus	19
are included in the	19
regression was used to	19
for the first time	19
the health care system	19
in such a way	18
the value of the	18
a result of the	18
the authors declare that	18
that they have no	18
the design of the	18
to the fact that	18
was associated with a	18
an increase in the	18
open source data sets	18
in the course of	18
it is not possible	18
this version posted june	18
not be able to	18
a part of the	18
to the use of	18
and the risk of	18
the number of clusters	18
in the general population	18
play an important role	18
was no difference in	18
in each of the	18
a prospective observational study	18
be taken into account	18
that the use of	17
the form of a	17
the spatial distribution of	17
nature remains neutral with	17
maps and institutional affiliations	17
is not possible to	17
springer nature remains neutral	17
remains neutral with regard	17
with the number of	17
in relation to the	17
is based on a	17
with regard to jurisdictional	17
claims in published maps	17
paper is organized as	17
from the perspective of	17
could be used to	17
in the fight against	17
regard to jurisdictional claims	17
to be used in	17
at the start of	17
logistic regression was used	17
spread of the disease	17
the development of the	17
in the age of	17
due to the lack	17
as well as in	17
to jurisdictional claims in	17
and mental health services	17
in published maps and	17
declare that they have	17
which can be used	17
important to note that	17
is organized as follows	17
data need to be	17
published maps and institutional	17
so that they can	17
jurisdictional claims in published	17
the needs of the	17
in this paper we	17
be used to predict	17
quality of the data	17
a random sample of	17
taking into account the	17
neutral with regard to	17
the presence of a	17
shows an example of	16
without the need for	16
in order to identify	16
the effect of a	16
the data set is	16
in order to improve	16
review of the literature	16
during the west african	16
one of the key	16
before and after the	16
need to be addressed	16
of the data and	16
it is essential to	16
we were able to	16
in the next section	16
of the study was	16
are likely to be	16
will need to be	16
the goal of the	16
admitted to the hospital	16
the time of the	16
with regard to the	16
in the control group	16
there were no significant	16
authors declare that they	16
the social media post	16
used to determine the	16
not included in the	16
were obtained from the	16
the case of covid	16
the ability of the	16
the true number of	16
the number of patients	16
is known about the	16
the goal is to	16
the early stages of	16
the scope of this	15
the target data stream	15
spread of infectious diseases	15
acute respiratory syndrome coronavirus	15
in a timely manner	15
of the data set	15
in contrast to the	15
of the compounds were	15
a significant impact on	15
the parameters of the	15
presented in this paper	15
the number of the	15
it is hard to	15
associated with an increased	15
be used to identify	15
the basis of the	15
an example of a	15
the effect of the	15
of the impact of	15
the average number of	15
can be used as	15
in the analysis of	15
used to assess the	15
in the era of	15
the values of the	15
the current state of	15
with the aim of	15
there was no significant	15
more likely to have	15
by the fact that	15
the data and the	15
the identity of the	15
when the number of	15
an understanding of the	15
for the purposes of	15
uncorrelated lognormal relaxed clock	15
at the beginning of	15
the proportion of patients	15
true number of groups	15
is a need for	15
different types of data	15
can be considered as	15
better understanding of the	15
the application of the	15
in the fields of	15
it has been shown	15
a risk factor for	15
the data protection directive	15
was carried out in	15
policy in mental health	14
data were obtained from	14
the number of days	14
is part of the	14
in mental health and	14
a limited number of	14
were enrolled in the	14
to the development of	14
would like to thank	14
is defined as the	14
and policy in mental	14
data in the context	14
the location of the	14
this version posted november	14
research is needed to	14
the number of infected	14
take into account the	14
for a variety of	14
be used in the	14
is important to note	14
and the impact of	14
the distribution of the	14
to come up with	14
as depicted in fig	14
data from multiple sources	14
the development of new	14
to account for the	14
our understanding of the	14
the use of mobile	14
is considered to be	14
of the state of	14
as well as for	14
a great deal of	14
our objective was to	14
in order to provide	14
the spread of infectious	14
the remainder of this	14
the context of a	14
that there is no	14
of the use of	14
national institutes of health	14
for early detection of	14
the centers for disease	14
the name of the	14
in light of the	14
the results show that	14
in the treatment of	14
middle east respiratory syndrome	14
it is based on	14
was significantly associated with	14
in this section we	14
with the development of	14
administration and policy in	14
as shown in the	13
mental health and mental	13
health and mental health	13
as the gold standard	13
the city of toronto	13
data in order to	13
has not yet been	13
of the paper is	13
data requests and providable	13
note springer nature remains	13
it was found that	13
data from different sources	13
in ed patients with	13
a description of the	13
the european data protection	13
those who did not	13
the number of new	13
has been used to	13
a prospective cohort study	13
the absence of a	13
data from social media	13
study was to assess	13
data as well as	13
meet the needs of	13
of an infectious disease	13
of the data is	13
to determine whether the	13
were no significant differences	13
requests and providable data	13
is the use of	13
we are able to	13
increase the risk of	13
access to the data	13
a significant increase in	13
data were analyzed using	13
the course of a	13
the study was to	13
different parts of the	13
data needs to be	13
to better understand the	13
this paper is to	13
determine the effect of	13
in response to the	13
presence or absence of	13
is shown in fig	13
the degree to which	13
and quality of life	13
with the goal of	13
there is a lack	13
and the development of	13
in order to obtain	13
has been associated with	13
the consent of the	13
is an example of	13
such a way that	13
then be used to	13
on the role of	13
on social media platforms	13
the success of the	13
the effects of the	13
can be found at	13
are a number of	13
is a lack of	13
is the ability to	13
that are able to	13
in the prehospital setting	13
and approved the final	13
with a focus on	13
is the lack of	13
of the role of	13
ed length of stay	13
the number of nodes	13
evaluate the effect of	13
is to provide a	13
to take advantage of	13
information related to the	12
studies have shown that	12
was used to evaluate	12
use of mobile phone	12
public health surveillance systems	12
each of the three	12
a retrospective chart review	12
analysis was used to	12
on the quality of	12
design and implementation of	12
on the development of	12
health insurance portability and	12
general data protection regulation	12
insurance portability and accountability	12
assessing the impact of	12
in the intervention group	12
and can be used	12
we found that the	12
the use of data	12
the posterior predictive data	12
consent of the data	12
department of health and	12
as a proxy for	12
originally submitted as a	12
dashboard to track covid	12
improve the quality of	12
privacy and data protection	12
based dashboard to track	12
in the food chain	12
for the management of	12
in terms of their	12
is the most common	12
it is worth noting	12
be found in the	12
there was a significant	12
that it can be	12
be more likely to	12
for a total of	12
the fight against the	12
of the study is	12
with the advent of	12
by the use of	12
study was conducted in	12
to share their data	12
of the human genome	12
the presence or absence	12
the data in the	12
state of ai ethics	12
was defined as a	12
can be achieved by	12
access to health care	12
of the internet of	12
the state of ai	12
on the protection of	12
in line with the	12
of the most important	12
markov chain monte carlo	12
there are a number	12
the intensive care unit	12
in order to be	12
the amount of ppe	12
in the dgsaugust dataset	12
the false discovery rate	12
on a daily basis	12
there is also a	12
methods have been developed	12
assess the impact of	12
for the treatment of	12
a role in the	12
use of big data	12
with regards to the	12
the multinomial test statistic	12
the importance of the	12
the sum of the	12
in the previous section	12
have no competing interests	12
data provided by the	12
a subset of the	12
which may not be	12
in the next step	12
a significant effect on	12
systematic review of the	12
in real time and	12
portability and accountability act	12
of the epidemic and	12
large amount of data	12
a case study on	12
posterior predictive data sets	12
was used to determine	12
on the risk of	12
at high risk for	12
makes it possible to	12
a positive depression screen	11
a function of time	11
of personal data and	11
prospective observational study of	11
of the derivative estimate	11
a secondary analysis of	11
to assess the impact	11
is worth noting that	11
were less likely to	11
there are more than	11
development and deployment of	11
presence of altmetric data	11
the authors of this	11
as a means of	11
as is the case	11
the maximum number of	11
of the effects of	11
the utility of the	11
can be utilized to	11
on the spread of	11
to be taken into	11
of the data that	11
the paper is organized	11
study was to evaluate	11
may not be the	11
evaluate the performance of	11
an analysis of the	11
in health and medical	11
without the need to	11
the severe acute respiratory	11
as a source of	11
number of confirmed cases	11
from mobile phone data	11
they can be used	11
early stages of the	11
the mean age was	11
the optimal number of	11
our goal is to	11
as shown in table	11
the design and implementation	11
the difference between the	11
from a variety of	11
the data on the	11
the global burden of	11
total of patients were	11
in the spread of	11
as well as their	11
this is due to	11
the ratio of the	11
on the part of	11
the quality of life	11
be used to develop	11
the democratic republic of	11
to the best of	11
plays an important role	11
would be able to	11
the result of the	11
the security and privacy	11
the number of covid	11
may lead to a	11
of infectious disease outbreaks	11
the number of confirmed	11
for a number of	11
in a variety of	11
the results of this	11
the control of the	11
to be the most	11
the understanding of the	11
numbers of confirmed cases	11
we would like to	11
can be represented as	11
an increasing number of	11
of some of the	11
in mental health services	11
we sought to determine	11
number of cases in	11
the reliability of the	11
would have to be	11
the implementation of the	11
confirmed cases and deaths	11
be included in the	11
the new york times	11
no significant differences in	11
the time series data	11
database and analysis resource	11
can be seen in	11
to name a few	11
it was shown that	11
further research is needed	11
the probability of a	11
a fraction of the	11
center for disease control	11
the fourth industrial revolution	11
of mental health services	11
for a period of	11
from the university of	11
with an increase in	11
in order to achieve	11
are based on the	11
to determine the effect	11
the validity of the	11
in addition to this	11
remote sensing of environment	11
of a number of	11
a large proportion of	11
of the data subject	11
deep convolutional neural networks	11
there has been a	11
assess the effect of	11
included in the study	11
of the partition coefficient	11
as a basis for	11
in a number of	11
of each of the	11
to evaluate the association	11
have an impact on	11
of the public health	11
was defined as the	11
proportion of the population	11
the change in the	11
in patients presenting to	11
due to the fact	11
the national center for	11
that are used to	10
it is not always	10
from the use of	10
the number of infections	10
of the data protection	10
as a case study	10
in order to reduce	10
in one of the	10
blockchain technology and gs	10
the large number of	10
data protection and privacy	10
in the ed and	10
the data will be	10
and specificity of the	10
of health and human	10
the area under the	10
approved the final manuscript	10
the use of technology	10
in order to make	10
an example of the	10
increase in the number	10
they have no competing	10
were not associated with	10
enrolled in the study	10
was used to estimate	10
the covid tracking project	10
types of altmetric data	10
was one of the	10
may be used to	10
of the supply chain	10
the context of covid	10
the european parliament and	10
it is unlikely that	10
the choice of the	10
between the number of	10
was to evaluate the	10
the focus of the	10
with increased risk of	10
big data analytics in	10
if there is a	10
of the european parliament	10
often referred to as	10
it can be used	10
primary outcome was the	10
risk factors associated with	10
that most of the	10
which is based on	10
a higher level of	10
participated in the study	10
the number of individuals	10
has been shown that	10
has been developed for	10
that is based on	10
has been used for	10
logarithm of the partition	10
the implementation of a	10
given a set of	10
a high degree of	10
the second wave of	10
the identification of the	10
large volumes of data	10
security and privacy of	10
this was a retrospective	10
on a large scale	10
of the input data	10
to evaluate the effect	10
disease prevention and control	10
health and social services	10
on the size of	10
logistic regression analysis was	10
an integral part of	10
can be used by	10
the performance of a	10
in this work we	10
will be required to	10
as long as the	10
in the medical field	10
in the state of	10
may or may not	10
the study is to	10
to determine if the	10
the vast majority of	10
the interpretation of the	10
in a manner that	10
ebola virus disease in	10
be considered as a	10
the outbreak of covid	10
may be due to	10
our results suggest that	10
associated with increased risk	10
may be difficult to	10
a link to the	10
the partition coefficient in	10
the use of these	10
evaluate the impact of	10
on the type of	10
be taken into consideration	10
as well as data	10
the results of a	10
patients presenting to an	10
and a lack of	10
be used to improve	10
in the last decade	10
for the presence of	10
provide an overview of	10
our results indicate that	10
in the battle against	10
the same as the	10
impact of the pandemic	10
it is not clear	10
phone data for em	10
is the probability of	10
the time series of	10
the health of the	10
influenza a h n	10
for the evaluation of	10
in view of the	10
is supported by the	10
for the diagnosis of	10
a retrospective cohort study	10
with an increased risk	10
also need to be	10
number of cases and	10
to assess the effect	10
a useful tool for	10
play a role in	10
presenting to the emergency	10
a data set of	10
some of the problems	10
the outcome of the	10
privacy and security of	10
using data from the	10
research in this area	10
each of the four	10
data that can be	10
at high risk of	10
was associated with an	10
in the supply chain	9
the gold standard for	9
united states of america	9
with the ability to	9
should be based on	9
this is the case	9
in the wake of	9
all over the world	9
in order to prevent	9
increased the risk of	9
the severity of the	9
of this type of	9
data were collected from	9
spreading of infectious diseases	9
p e r f	9
for the design of	9
number of emails received	9
in comparison to the	9
the number of deaths	9
time series data is	9
with at least one	9
this study aims to	9
was used to compare	9
spread of the novel	9
for the application of	9
with at least a	9
fosso wamba et al	9
in most of the	9
the data can be	9
there were no differences	9
was used to identify	9
was associated with increased	9
the best of our	9
the uncorrelated lognormal relaxed	9
the data set consists	9
of travel restrictions on	9
data set consists of	9
the number of daily	9
it is expected that	9
all of the information	9
on behalf of the	9
and its impact on	9
there is a high	9
as illustrated in fig	9
are related to the	9
global burden of disease	9
in the sense of	9
the impact of an	9
model was used to	9
will be able to	9
can serve as a	9
the data to be	9
is a set of	9
types of data that	9
the behavior of the	9
were calculated for the	9
and the presence of	9
the impact of covid	9
credibility and validity of	9
in this paper is	9
in the event of	9
can then be used	9
the creation of a	9
repetitive transcranial magnetic stimulation	9
are not able to	9
by the number of	9
at the cost of	9
is due to the	9
of the spread of	9
to address this problem	9
the data collection and	9
best of our knowledge	9
lack of access to	9
the results from the	9
the potential impact of	9
needs to be done	9
need to be able	9
a summary of the	9
used to predict the	9
data scientists and physicians	9
to be used for	9
sharing of data and	9
for the rest of	9
was not possible to	9
to take into account	9
based on the data	9
read and approved the	9
is an open source	9
of the data sources	9
should be included in	9
highlight the importance of	9
day centered moving average	9
and the united states	9
chronic obstructive pulmonary disease	9
internet of things and	9
a level i trauma	9
of big data in	9
no significant difference in	9
the number of tests	9
less likely to have	9
in the intensive care	9
social and machine learning	9
org journal rspb proc	9
was used for the	9
mortality and healthcare demand	9
have been able to	9
the ability to access	9
have also been used	9
the data provided by	9
they were able to	9
we are interested in	9
of the presence of	9
irregularly sampled time series	9
in addition to that	9
related quality of life	9
personal data in the	9
study was to determine	9
extent to which the	9
there is an urgent	9
an urban academic ed	9
the need for the	9
timelines to achieve mf	9
test was used to	9
as hot research topics	9
to the design of	9
one of the largest	9
to evaluate the impact	9
been developed for the	9
blockchain and gs standards	9
of risk factors for	9
to address the problem	9
on the importance of	9
for the study of	9
beyond the scope of	9
the past two decades	9
patients who did not	9
a variety of different	9
in different parts of	9
and ease of use	9
not need to be	9
the next step is	9
with the exception of	9
in order to produce	9
had at least one	9
a growing number of	9
in the sense that	9
gs global traceability standard	9
regions of the world	9
of acute myocardial infarction	9
the type of data	9
were used to evaluate	9
of big data and	9
return of spontaneous circulation	9
of severe acute respiratory	9
the different types of	9
that are associated with	9
of infectious disease epidemiology	9
by the world health	9
in a cohort of	9
that are related to	9
the output of the	9
the level of the	9
the reasons for the	9
based on the results	9
of electronic health records	9
the development of an	9
of a set of	9
of the population in	9
through the lens of	9
in the dgsapril dataset	9
for the prediction of	9
was to assess the	9
were excluded from the	9
the full potential of	9
study was carried out	9
making it possible to	9
it was suggested that	9
the lack of a	9
be due to the	9
in the same context	9
data can also be	9
the usefulness of the	9
more likely to report	9
the immune epitope database	9
the integrity of the	9
is similar to the	9
the predictive performance of	9
need to be considered	9
it is crucial to	9
this work was supported	9
a set of rules	9
were admitted to the	9
also referred to as	9
in the proportion of	9
it has to be	9
remainder of this paper	9
for a long time	9
it was not possible	9
health and human services	9
referred to as the	9
development and implementation of	9
the use of blockchain	9
of the collected data	9
the presence of an	9
and implementation of the	9
the concept of a	9
for the number of	9
of the most common	9
the objective of the	9
with a history of	9
have been made to	9
should be taken into	9
the basic reproduction number	9
quality of life and	9
detection of atrial fibrillation	9
have access to the	9
they are able to	9
will be used to	9
a deep learning approach	9
rate variation among lineages	9
this statement of intent	9
in an effort to	9
as a set of	9
have been used for	9
were significantly associated with	9
it is also important	9
mobile phone data to	9
evaluate the association between	9
figure shows an example	8
was used to assess	8
the details of the	8
models can be used	8
a set of training	8
adjusted for age and	8
at the individual level	8
than half of the	8
with digital contact tracing	8
in the early stages	8
to the training data	8
address the problem of	8
of ebola virus disease	8
has led to a	8
an evaluation of the	8
of one of the	8
on the effectiveness of	8
the genetic information ecosystem	8
patients were included in	8
was to determine the	8
a lot of the	8
data collection and data	8
of emerging infectious diseases	8
travel restrictions on the	8
of molecular clock models	8
the results of our	8
is important to understand	8
west african ebola outbreak	8
all authors read and	8
the first step in	8
the case of a	8
may be used for	8
the development of ai	8
in the united kingdom	8
it is known that	8
is an urgent need	8
in a hierarchical manner	8
in order to avoid	8
the sensitivity of the	8
the estimation of the	8
in the city of	8
under the age of	8
is the most important	8
for the integration of	8
the heart rhythm society	8
do not need to	8
the first months of	8
the ways in which	8
be used to estimate	8
at the country level	8
by the center for	8
the national institutes of	8
similar to that of	8
the date of the	8
the source of the	8
to the processing of	8
assess the effects of	8
to assess the effects	8
retrospective chart review of	8
total number of cases	8
controlling the false discovery	8
for the sake of	8
the objective was to	8
to the process of	8
that could be used	8
diagnosis and management of	8
does not appear to	8
of digital health data	8
is also important to	8
the peak of the	8
the results showed that	8
authors would like to	8
authors read and approved	8
a number of different	8
and machine learning algorithms	8
drug sales data analysis	8
across the supply chain	8
it can be seen	8
of the fact that	8
data taken from the	8
has the ability to	8
can be defined as	8
results show that the	8
us centers for disease	8
is to use the	8
included in the data	8
the data controller and	8
the data in a	8
were included in this	8
patients in the ed	8
order to improve the	8
immune epitope database and	8
of personal data in	8
by the end of	8
to be included in	8
infectious diseases such as	8
is to evaluate the	8
in conjunction with the	8
goal of this study	8
need to be made	8
can be extended to	8
the health status of	8
the process of data	8
had a sensitivity of	8
physical and mental health	8
may not always be	8
the authors of the	8
as much as possible	8
reproduction in any medium	8
of machine learning algorithms	8
is related to the	8
in the democratic republic	8
significantly different from the	8
of the general population	8
an example of an	8
the first days of	8
on the fact that	8
in the early phase	8
the position of the	8
a proof of concept	8
the authors concluded that	8
public perceptions towards covid	8
to increase data sharing	8
of cases and deaths	8
different social media platforms	8
to examine the association	8
in the management of	8
spread of the covid	8
in collaboration with the	8
technology and gs standards	8
provides an overview of	8
size of the data	8
is the total number	8
can be estimated from	8
was used as a	8
to the spread of	8
data security and privacy	8
is applied to the	8
and the type of	8
the relationships between the	8
the same set of	8
take advantage of the	8
and diastolic blood pressure	8
within the scope of	8
the national institute of	8
was not statistically significant	8
of data to be	8
less than half of	8
the latent dirichlet allocation	8
minimum energy conformations of	8
it will be possible	8
is going to be	8
this study aimed to	8
can be seen as	8
this type of data	8
our study was to	8
to the social media	8
use of ai in	8
be incorporated into the	8
the prediction of the	8
of deep neural networks	8
is that it is	8
to the needs of	8
the use of big	8
the daily number of	8
purpose of the study	8
as a first step	8
taken from the literature	8
this is the first	8
this is not the	8
development and evaluation of	8
of the ebola outbreak	8
of data that is	8
was no significant difference	8
of the time series	8
is of paramount importance	8
research has shown that	8
on blockchain technology and	8
in the machine learning	8
is proportional to the	8
the efficacy of the	8
that can lead to	8
of the news articles	8
for systems science and	8
it may not be	8
suggests epidemic control with	8
east respiratory syndrome coronavirus	8
the focus of this	8
of data collection and	8
in the present study	8
have sex with men	8
methods can be used	8
of our study was	8
hot research topics in	8
the need to develop	8
use of social media	8
development and validation of	8
systolic and diastolic blood	8
the food supply chain	8
systems science and engineering	8
epidemic control with digital	8
we do not know	8
be used for the	8
on a regular basis	8
amount of data and	8
as the use of	8
the potential to improve	8
important role in the	8
a variety of public	8
were asked to complete	8
the authors declare no	8
patients who presented to	8
was found that the	8
the right to be	8
the native dutch population	8
is to determine the	8
in the distribution of	8
to the need for	8
would need to be	8
to improve the quality	8
the main goal of	8
who present to the	8
appears to be a	8
the time of covid	8
the cause of the	8
there have been many	8
we conducted a retrospective	8
the electronic medical record	8
analysis of the data	8
of health and social	8
the data for the	8
data for public health	8
it is not surprising	8
efforts have been made	8
the definition of the	8
statistical analysis was performed	8
from the same hospital	8
will be possible to	8
rest of the paper	8
epitope database and analysis	8
the article working party	8
are likely to have	8
of data that are	8
are shown in fig	8
a significant decrease in	8
the same way as	8
the effects of different	8
the protection of privacy	8
of the evolution of	8
transmission suggests epidemic control	8
and reproduction in any	8
in the past months	8
the amount of information	8
the training data set	8
the mean age of	8
the rapid development of	8
posterior predictive branch lengths	8
to serve as a	8
tensorflow object detection api	8
the european centre for	8
the availability of data	8
number of infected individuals	8
in the range of	8
some of them are	8
from social media platforms	8
there is a significant	8
democratic republic of congo	8
to provide a more	8
with a total of	8
to meet the needs	8
be seen as a	8
control with digital contact	8
supported by the national	8
in intensive care units	8
during the course of	8
are considered to be	8
a deep learning model	8
is not the case	8
systematic reviews and meta	8
collection and processing of	8
and natural language processing	8
to a variety of	8
a comparative study of	8
in the latter case	8
analysis of safety data	8
study was to investigate	8
have a significant effect	8
is known to be	8
the contents of the	8
as compared to the	8
the potential to be	8
we performed a retrospective	8
the acgme core competencies	8
on a variety of	8
the authors would like	8
of an influenza pandemic	8
the probability density function	8
the data that is	8
of big data analytics	8
the objective is to	8
the origin of the	8
met the inclusion criteria	8
the calculation of the	8
opportunities and challenges of	8
of the total number	8
living with hiv aids	8
it is easy to	8
protection of personal data	8
in the beginning of	8
is the process of	8
in the design of	8
are less likely to	8
have a significant impact	8
and the ability to	8
the positive or negative	8
center for systems science	8
were no differences in	8
for disease prevention and	8
since the beginning of	8
was supported by the	8
it is estimated that	8
activities of daily living	8
social sciences and humanities	8
the number of parameters	8
a case study of	8
the impact of this	8
in the original study	8
is not included in	8
of machine learning to	8
the outbreak of the	7
is then used to	7
have been applied to	7
party material in this	7
increases the risk of	7
presenting to an urban	7
also known as the	7
regulation or exceeds the	7
the design of a	7
and how they are	7
of the pandemic on	7
a part of this	7
do not have a	7
to the analysis of	7
a comparison of the	7
of the data subjects	7
presented to the ed	7
which can lead to	7
of the effect of	7
the prevalence of a	7
a significant role in	7
the privacy of the	7
the occurrence of the	7
to a group of	7
or exceeds the permitted	7
are known to be	7
language and environment for	7
characteristics of the data	7
in spite of the	7
that there was a	7
the lack of data	7
in a credit line	7
the number of groups	7
of dna data storage	7
as a means to	7
third party material in	7
either belongs to the	7
indicated otherwise in a	7
a clinical decision rule	7
is not permitted by	7
there is a strong	7
in men and women	7
provide a link to	7
the onset of the	7
covid mortality and healthcare	7
a matter of fact	7
most of the research	7
can be obtained by	7
of the health care	7
european parliament and of	7
will not be able	7
signs and symptoms of	7
an r package for	7
due to lack of	7
set by the user	7
based on drug sales	7
a significant difference in	7
and the extent to	7
a deep neural network	7
can be useful for	7
the growth of the	7
was suggested that the	7
the fight against covid	7
been found to be	7
of the total population	7
used to collect data	7
is represented as a	7
article data protection working	7
to reduce covid mortality	7
is used as a	7
the impact of a	7
compliance to social distancing	7
when the data are	7
analysis of a prospective	7
a new type of	7
by means of a	7
area under the curve	7
paper is structured as	7
other third party material	7
european centre for disease	7
the global spread of	7
us food and drug	7
are shown in figure	7
and in order to	7
of disease outbreaks by	7
in addition to data	7
the standard of care	7
enterprise and operational data	7
to cope with the	7
present to the ed	7
the predictive power of	7
in patients with a	7
over the past years	7
as defined by the	7
the force of infection	7
as in the case	7
of patients presenting to	7
by public health professionals	7
internet of things for	7
the duration of the	7
and big data analytics	7
in order to detect	7
and the nature of	7
a deeper understanding of	7
variety of public health	7
and to assess the	7
we believe that the	7
of the proposed approach	7
if material is not	7
be used to determine	7
wide range of applications	7
the effect of travel	7
of information about the	7
a way that is	7
is to ensure that	7
deep learning methods for	7
transmission and control of	7
included in the analysis	7
of the data from	7
aged years or older	7
types of mobile phone	7
with the metabolic syndrome	7
men who have sex	7
be one of the	7
be used to assess	7
epidemic prevention and control	7
if changes were made	7
that are used in	7
images or other third	7
this paper is organized	7
the lifetime of the	7
the total distance between	7
to that of the	7
stages of the outbreak	7
that may not be	7
this can be used	7
and your intended use	7
number of tests performed	7
based on the number	7
the number of data	7
was based on the	7
number of new cases	7
to primary health care	7
mean and standard deviation	7
the availability of the	7
this can be achieved	7
in the past year	7
in order to have	7
huge amount of data	7
study was performed in	7
we hypothesized that patients	7
it is now possible	7
with deep neural networks	7
the images or other	7
has led to the	7
that can be applied	7
predictive and prescriptive analytics	7
of the disease and	7
that needs to be	7
thank members of the	7
detecting influenza epidemics using	7
there is a paucity	7
who have sex with	7
and indicate if changes	7
in order to enable	7
is the need to	7
to a lesser extent	7
of the original data	7
have the ability to	7
a high prevalence of	7
the status of the	7
the data of the	7
models are used to	7
from each of the	7
the risk of death	7
need to be taken	7
otherwise in a credit	7
and its application to	7
of patients were included	7
we need to be	7
and the quality of	7
leading cause of death	7
need to be developed	7
data protection working party	7
a diverse set of	7
the content of the	7
was estimated to be	7
to improve the health	7
research and public health	7
is represented by a	7
work was supported by	7
parliament and of the	7
the global public health	7
the quality of data	7
in electronic health records	7
and the level of	7
on the application of	7
an academic medical center	7
the risks associated with	7
the terms of the	7
despite the fact that	7
statistical analysis of safety	7
material is not included	7
a certain amount of	7
were not able to	7
the risk of infection	7
in the design and	7
a chief complaint of	7
the us food and	7
of different types of	7
performance of the proposed	7
may be associated with	7
these data can be	7
data to predict the	7
and the role of	7
analysis was performed using	7
was the most common	7
the overall quality of	7
associated with a significant	7
improve the accuracy of	7
and environment for statistical	7
quality and food safety	7
use of machine learning	7
to evaluate the performance	7
obtained from the national	7
a public health emergency	7
most of the studies	7
the basis for the	7
restrictions on the spread	7
the user can select	7
the leading cause of	7
was also used to	7
reducing the number of	7
of a group of	7
the present lf models	7
one of the biggest	7
in order to facilitate	7
that none of the	7
refer the reader to	7
the study of the	7
limit the number of	7
approach is based on	7
were used to estimate	7
security and privacy concerns	7
the patient and the	7
belongs to the positive	7
the past few years	7
this study examines the	7
for the construction of	7
department of public health	7
to the positive or	7
in the middle of	7
will have to be	7
effect of travel restrictions	7
the use of digital	7
the number of emails	7
in a federated cloud	7
of the data sets	7
intermittent preventive treatment of	7
should be able to	7
quality of life in	7
of the distribution of	7
the european medicines agency	7
creative commons license and	7
the number of times	7
while most of the	7
artificial intelligence and machine	7
a huge amount of	7
study is to determine	7
will be needed to	7
examine the effect of	7
number of received emails	7
the free movement of	7
and has the potential	7
data from the covid	7
the effects of a	7
which need to be	7
number of active cases	7
is not surprising that	7
the incubation period of	7
and implementation of a	7
when compared to the	7
be a useful tool	7
and a pointer to	7
to the extent that	7
unless indicated otherwise in	7
the benchmark spreadsheet program	7
be represented as a	7
into model parameter values	7
who did not receive	7
there is a growing	7
the results for the	7
used to calculate the	7
discharged from the ed	7
to the health of	7
the spatial spread of	7
overall quality of care	7
as a measure of	7
detection of disease outbreaks	7
and the amount of	7
stages of the pandemic	7
the evaluation of the	7
an example of this	7
natural logarithm of the	7
a key role in	7
it is important for	7
of at least one	7
epidemiological data from the	7
of a variety of	7
food quality and food	7
in patients with covid	7
the presence of altmetric	7
it is critical to	7
data stored in the	7
reduce the risk of	7
were randomized to receive	7
the dynamics of the	7
as a matter of	7
data collected from different	7
intelligence and machine learning	7
the center for systems	7
was calculated for the	7
calculated and subtracted out	7
over half of the	7
under the control of	7
of the present study	7
is referred to as	7
and the proportion of	7
environment for statistical computing	7
to support public health	7
area under the receiver	7
were able to identify	7
to assess the relationship	7
is a paucity of	7
by statutory regulation or	7
the data needs to	7
the squared correlation coefficient	7
this can lead to	7
is consistent with the	7
have been proposed to	7
give appropriate credit to	7
the emergence of the	7
with a set of	7
once the outbreak has	7
for evaluating public health	7
statutory regulation or exceeds	7
of the reproduction number	7
to a large extent	7
the extent of the	7
and public health officials	7
to respond to the	7
of training examples that	7
and the need for	7
in the midst of	7
level of social support	7
the early phase of	7
this paper presents a	7
is beyond the scope	7
massive amounts of data	7
to the success of	7
your intended use is	7
in the first step	7
we assume that the	7
not permitted by statutory	7
aim of the study	7
to be an important	7
the number of interactions	7
we refer the reader	7
there is no need	7
the us centers for	7
convolutional neural networks for	7
and length of stay	7
to select appropriate actions	7
in a timely fashion	7
play a key role	7
a significant number of	7
provincial and local levels	7
and the general public	7
in children and adolescents	7
training examples that are	7
objective was to determine	7
across the united states	7
exceeds the permitted use	7
be used to generate	7
improving the quality of	7
is being used to	7
to be used to	7
how they can be	7
as a tool for	7
machine learning algorithms to	7
number of patients with	7
permitted by statutory regulation	7
evaluating public health surveillance	7
centre for disease prevention	7
in order to determine	7
regression analysis was used	7
indicate if changes were	7
who presented to the	7
a paradigm shift in	7
the growth rate of	7
ai and machine learning	7
review is given on	7
for the most part	7
had a history of	7
due to the complexity	7
of altmetric data for	7
information and communication technologies	7
the impact of different	7
may be useful to	7
of the metabolic syndrome	7
patients admitted to the	7
for most of the	7
as a way to	7
barriers to data sharing	7
as part of their	7
should be considered as	7
of hot research topics	7
than that of the	7
use is not permitted	7
in each of these	7
was approved by the	7
examples that are labeled	7
genetic information can be	7
can be attached to	7
the irregular time intervals	7
of malaria in pregnancy	7
due to the large	7
ambulatory medical care survey	7
and of the council	7
may be able to	7
in order to support	7
set of training examples	7
or other third party	7
in the implementation of	7
such as artificial intelligence	7
levels of s b	7
n is the number	7
a credit line to	7
perceived ease of use	7
line to the material	7
of the complexity of	7
have proven to be	7
for the identification of	7
data collected by the	7
were based on the	7
and the characteristics of	7
there seems to be	7
with the introduction of	7
so that it can	7
patients with severe sepsis	7
of a wide range	7
the time of writing	7
is associated with increased	7
prevalence of metabolic syndrome	7
as can be seen	7
the first wave of	7
did not have a	7
sharing in health and	7
there is an increasing	7
positive or negative class	7
is now possible to	7
within the context of	7
the risk of the	7
in the healthcare domain	7
determine the relationship between	7
than the general population	7
to mental health services	7
the types of variables	7
times more likely to	7
used in this work	7
intended use is not	7
but it is also	7
data analytics in healthcare	7
type of data that	7
the advent of the	7
the cancer genome atlas	7
with respect to a	7
current state of the	7
on a global scale	7
a machine learning approach	7
appropriate credit to the	7
we focus on the	7
in the digital age	7
nucleotide and protein sequences	7
health status of the	7
of the data processing	7
but it does not	7
health monitoring and management	7
with high levels of	7
to be involved in	7
data sets can be	7
a retrospective review of	7
patients who present to	7
do not have to	7
prospective cohort study of	7
of the implementation of	7
come in contact with	7
the health insurance portability	7
the activity of the	7
reduce covid mortality and	7
at the national level	7
the new york city	7
credit line to the	7
is presented to the	7
the use of an	7
of science and technology	7
as described in the	7
of patients with a	7
data sharing in health	7
make use of the	7
also been used to	7
the impacts of the	7
time series data for	7
is given on the	6
the general population in	6
could be used for	6
to changes in the	6
laundering and terrorism financing	6
the relative importance of	6
as the presence of	6
techniques can be applied	6
permission directly from the	6
a need for a	6
might be hard to	6
as long as you	6
in the s and	6
the impact of interventions	6
to be carried out	6
it has been observed	6
a few of the	6
quality of life of	6
of data and the	6
to provide access to	6
the data that are	6
money laundering and terrorism	6
terms of the creative	6
of infectious diseases is	6
the last few years	6
virus in the americas	6
the identifi cation of	6
the mean of the	6
mental health services are	6
this approach is that	6
have been instrumental in	6
data decision and transmission	6
montreal ai ethics institute	6
a prospective study of	6
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as a way of	6
of blockchain and gs	6
the sentiment of the	6
left without being seen	6
health care system and	6
the correlation between the	6
was assessed using the	6
information contained in the	6
information and communication technology	6
at provincial and local	6
the same type of	6
the dashboard can be	6
in order to ensure	6
the highest rates of	6
in the dna data	6
tens of thousands of	6
the result of a	6
as more and more	6
have to be considered	6
age at the time	6
were not significantly different	6
a supervised learning method	6
is calculated and subtracted	6
the development and deployment	6
be able to provide	6
can be difficult to	6
the implementation of industry	6
for the prevention of	6
protection of privacy and	6
the pediatric emergency department	6
compounds were calculated using	6
as well as those	6
fourth year medical students	6
a new approach to	6
ministry of health and	6
the first step is	6
could then be used	6
the addition of a	6
is to assess the	6
the context of an	6
is a part of	6
it is noteworthy that	6
access to health services	6
some of the data	6
outbreaks in realistic urban	6
of patients with the	6
global alliance for genomics	6
seasonal influenza in the	6
the general data protection	6
the one hand and	6
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different kinds of behaviors	6
be used to infer	6
on the analysis of	6
to get a better	6
understanding of the disease	6
we do not have	6
the united states of	6
is structured as follows	6
identify hot research topics	6
reported in this paper	6
was used to collect	6
in order to develop	6
were compared to those	6
a different set of	6
to make informed decisions	6
a trained research assistant	6
health care and welfare	6
the diagnosis and management	6
hiv and syphilis screening	6
in the food supply	6
are often used to	6
many of them are	6
to have access to	6
is the absence of	6
zika virus in the	6
predictive performance of the	6
patients were excluded if	6
depends on the specific	6
using machine learning algorithms	6
heart rate and respiratory	6
to the quality of	6
chinese center for disease	6
is intended to be	6
effectiveness of the proposed	6
in the data set	6
will contribute to the	6
the integration of gs	6
we report on the	6
to the identification of	6
will need to obtain	6
structure of the data	6
the eprivacy regulation proposal	6
data obtained from the	6
and machine learning to	6
in order to mitigate	6
is also possible to	6
has emerged as a	6
the proposed approach is	6
been exposed to the	6
data protection impact assessment	6
are associated with the	6
each of the cities	6
the training of the	6
inclusion and exclusion criteria	6
was used to calculate	6
a review is given	6
the ability to collect	6
some of the key	6
a significant reduction in	6
for genomics and health	6
authors of this paper	6
would be more likely	6
global initiative on sharing	6
of missing data and	6
in order to evaluate	6
vast quantities of data	6
it is also possible	6
a higher number of	6
can be derived from	6
risk associated with the	6
data collected in the	6
the members of the	6
to address these issues	6
a high probability of	6
one of the following	6
total number of visits	6
authors declare no competing	6
of the prevalence of	6
by a set of	6
alliance for genomics and	6
is meant to be	6
a hash of the	6
this data can be	6
this is one of	6
johns hopkins university and	6
used in the past	6
we can observe that	6
the combination of blockchain	6
with a chief complaint	6
at higher risk of	6
work reported in this	6
is obtained from the	6
under the terms of	6
the absence of such	6
is to develop a	6
the results presented in	6
are available in the	6
the compounds were calculated	6
in times of crisis	6
be added to the	6
carried out in the	6
of high blood pressure	6
can be regarded as	6
a mean age of	6
a standard deviation of	6
under grant agreement no	6
use of the internet	6
the use of machine	6
in the past few	6
the two types of	6
the mean number of	6
as early as possible	6
human and artificial intelligence	6
for age and sex	6
the importance of data	6
funding from the european	6
necessary in order to	6
the middle of the	6
machine learning algorithms for	6
for all types of	6
is a matter of	6
of a series of	6
example of this is	6
technological forecasting social change	6
patients with s s	6
there are a variety	6
the dna data storage	6
a number of challenges	6
of machine learning in	6
variable of interest was	6
link to the creative	6
we show that the	6
based on data from	6
the emergence of a	6
that it is not	6
for the future of	6
the last ten years	6
a new era of	6
in the blockchain network	6
our goal was to	6
there is a clear	6
using a variety of	6
the issue of the	6
in the second step	6
to the source of	6
can also be useful	6
over the past two	6
in order to better	6
national center for biotechnology	6
to the health care	6
likely to have an	6
results are presented in	6
and the lack of	6
which means that the	6
withdrawing power of the	6
not appear to be	6
work is needed to	6
the context data stream	6
of the development of	6
during the ebola epidemic	6
of the art in	6
data were collected by	6
the case with the	6
any medium or format	6
will be necessary to	6
the next generation of	6
data were collected on	6
peak of the epidemic	6
objective of the study	6
patients who received an	6
the introduction of a	6
to verify the claim	6
has been used in	6
mean age was years	6
there are a few	6
of data in the	6
of drug sales data	6
the large amount of	6
in the present work	6
on the effect of	6
in realistic urban social	6
were used to identify	6
data access and retrieval	6
such as number of	6
after the introduction of	6
there was no evidence	6
in order to understand	6
members of the biocomplexity	6
global public health intelligence	6
in an attempt to	6
no difference in the	6
access to primary health	6
of the effectiveness of	6
data for good program	6
with the fact that	6
there are two main	6
to the point of	6
approaches have been proposed	6
in patients with severe	6
for sharing data and	6
has been applied to	6
credit to the original	6
to control the spread	6
an important risk factor	6
there is need to	6
acceleration and deceleration phases	6
you give appropriate credit	6
proportion of patients who	6
be estimated from the	6
have been widely used	6
data design of unobserved	6
they found that the	6
the magnitude of the	6
the montreal ai ethics	6
root mean square error	6
a significant improvement in	6
an urgent need for	6
traceability in the food	6
cardiac arrest registry to	6
the public health system	6
figure shows that the	6
artificial intelligence in the	6
each instance either belongs	6
horizon research and innovation	6
a machine learning model	6
big data and the	6
was performed to assess	6
the collection and processing	6
data sources such as	6
an artificial neural network	6
studies have demonstrated that	6
of cohen et al	6
in the information society	6
of their own data	6
of the quality of	6
the health needs of	6
data should be collected	6
a citizen science initiative	6
of skin melanoma in	6
in the setting of	6
later in this paper	6
are added to a	6
data collection and analysis	6
the development of innovative	6
stage of the pandemic	6
liability for defective products	6
was used to measure	6
to a range of	6
of age or older	6
as an example of	6
that the majority of	6
in the super cell	6
results of this study	6
to determine the association	6
it comes to the	6
were randomly assigned to	6
analyses were performed using	6
the interaction between the	6
days of the outbreak	6
can be expressed as	6
of patients in the	6
from the copyright holder	6
with more than one	6
the first is the	6
the basic reproductive number	6
of different kinds of	6
the part of the	6
model to forecast the	6
we hypothesized that the	6
higher levels of attention	6
the numbers of confirmed	6
and development of the	6
the first one is	6
that must be addressed	6
the cumulative number of	6
over the past decade	6
adequacy of molecular clock	6
was found between the	6
the protein data bank	6
was inversely associated with	6
can be made available	6
from farm to fork	6
from the point of	6
at johns hopkins university	6
me is being used	6
to one of the	6
to the original author	6
to ensure that they	6
liberia and sierra leone	6
can be expected to	6
by the public health	6
the social media posts	6
the netherlands epidemiological society	6
in this field is	6
mobile phone data in	6
of the association between	6
not been tampered with	6
to develop and implement	6
for the case of	6
by the european commission	6
as a risk factor	6
in the interest of	6
which may lead to	6
the privacy and security	6
significant differences in the	6
is shown in table	6
it is essential that	6
discuss some of the	6
the main purpose of	6
for the benefit of	6
different kinds of interventions	6
need to obtain permission	6
the expected number of	6
needed in order to	6
from research to clinical	6
not have to be	6
for a set of	6
researchers to share data	6
using social media data	6
that are likely to	6
the history of the	6
the early detection of	6
realistic urban social networks	6
the right to science	6
one or more of	6
as part of an	6
the most commonly used	6
been developed in the	6
in the federated cloud	6
publicly reported confirmed cases	6
are extracted from the	6
be applied to the	6
the data set of	6
it is able to	6
that allows users to	6
with higher levels of	6
on the nature of	6
as the result of	6
is associated with the	6
reduce the number of	6
in the previous sections	6
and their impact on	6
in a world of	6
and internet of things	6
not significantly different from	6
is not able to	6
at least one of	6
the same number of	6
the application of ml	6
to the understanding of	6
the role of data	6
provide information about the	6
on the results of	6
to have a significant	6
to work on the	6
in the evaluation of	6
is to estimate the	6
part of the data	6
to the type of	6
people living with hiv	6
large proportion of the	6
total number of deaths	6
in the healthcare industry	6
in the early stage	6
possible to compare the	6
and the importance of	6
they will not be	6
the impact of these	6
a smart contract is	6
the data should be	6
made available to the	6
in the occurrence of	6
has been suggested that	6
to the complexity of	6
of human mobility on	6
the introduction of the	6
the integration of the	6
for the interpretation of	6
distribution and reproduction in	6
in an ami world	6
and for what purpose	6
as well as highlighting	6
have been developed in	6
the protection of personal	6
are shown in the	6
there were patients who	6
questionnaire was used to	6
we find that the	6
a high proportion of	6
from different social media	6
conformations of the compounds	6
were found to have	6
commons license and your	6
because of the high	6
big data architecture for	6
risk of breast cancer	6
ed visits and hospitalizations	6
but little is known	6
single shot object detectors	6
data are collected from	6
have not yet been	6
rate and respiratory rate	6
to make sense of	6
in natural language processing	6
is used to determine	6
the united states and	6
the continental united states	6
a trusted third party	6
are at greater risk	6
to be related to	6
as reported by the	6
and agent based models	6
not associated with a	6
severity of the disease	6
of the major challenges	6
this study is a	6
we collected data from	6
in any medium or	6
is to use a	6
is an opportunity to	6
public health authorities to	6
an impact on the	6
food supply chain management	6
of the creative commons	6
the natural logarithm of	6
instance either belongs to	6
the electronic health record	6
optimal number of groups	6
center for biotechnology information	6
it is challenging to	6
the probability of certain	6
least one of the	6
median age was years	6
disruptions to daily life	6
nodes in the unl	6
a graphical user interface	6
considered to be a	6
between the data and	6
outside the scope of	6
does not need to	6
of the data by	6
a high number of	6
trend between the past	6
much of the data	6
the chinese center for	6