id	author	title	date	pages	extension	mime	words	sentences	flesch	summary	cache	txt
cord-103363-efd80dgn	Mahan, Margaret	tbiExtractor: A framework for extracting traumatic brain injury common data elements from radiology reports	2019-03-21		.txt	text/plain	2392	159	44	title: tbiExtractor: A framework for extracting traumatic brain injury common data elements from radiology reports Here, we set out to develop and validate a framework to extract pertinent clinical conditions for traumatic brain injury (TBI) from computed tomography (CT) reports. Materials and Methods We developed tbiExtractor, which extends pyConTextNLP, a regular expression algorithm using negation detection and contextual features, to create a framework for extracting TBI common data elements from radiology reports. The algorithm inputs radiology reports and outputs a structured summary containing 27 clinical findings with their respective annotations. Discussion and Conclusion tbiExtractor is a validated algorithm for extraction of TBI common data elements from radiology reports. At this stage of processing, each sentence in the radiology report will be marked with lexical 245 targets and linked lexical modifiers. With the nature of TBIs, some visible pathologies are only seen on follow-up CTs developed to automate the extraction of TBI common data elements from 438 radiology reports	./cache/cord-103363-efd80dgn.txt	./txt/cord-103363-efd80dgn.txt