Open AccessAutomated Detection of Adverse Events Using Natural Language Processing of Discharge Summaries
Author(s) -
Genevieve B. Melton,
George Hripcsak
Publication year - 2005
Publication title -
journal of the american medical informatics association
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.614
H-Index - 150
eISSN - 1527-974X
pISSN - 1067-5027
DOI - 10.1197/jamia.m1794
Subject(s) - confidence interval , gold standard (test) , predictive value , event (particle physics) , natural language processing , computer science , adverse effect , medicine , artificial intelligence , physics , quantum mechanics
To determine whether natural language processing (NLP) can effectively detect adverse events defined in the New York Patient Occurrence Reporting and Tracking System (NYPORTS) using discharge summaries.
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