Use of Natural Language Processing to Translate Clinical Information from a Database of 889,921 Chest Radiographic Reports
RadiologyPublished 1 July 2002
George Hripcsak, John H. M. Austin, Philip O. Alderson, Carol Friedman
Citations200
SJR quartileQ1
SJR score3.86
SNIP3.55
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TL;DR
Internal and external validation in this study confirmed the accuracy of natural language processing for translating chest radiographic narrative reports into a large database of information.
Abstract
Internal and external validation in this study confirmed the accuracy of natural language processing for translating chest radiographic narrative reports into a large database of information.
Keywords
Medicine
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