Influenza detection from emergency department reports using natural language processing and Bayesian network classifiers

Journal of the American Medical Informatics Association

Volumn 21, Issue 5, 2014, Pages 815-823

  Ye, Ye ^a,b   Tsui, Fuchiang Rich ^a,b   Wagner, Michael ^a,b   Espino, Jeremy U ^a   Li, Qi ^c  

^a UNIVERSITY OF PITTSBURGH SCHOOL OF MEDICINE   (United States)

^b UNIVERSITY OF PITTSBURGH   (United States)

^c CINCINNATI CHILDREN'S HOSPITAL MEDICAL CENTER   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ACCURACY; AREA UNDER THE CURVE; ARTICLE; BAYESIAN LEARNING; CONTROLLED STUDY; EMERGENCY WARD; EXTRACTION; HUMAN; INFLUENZA; MAJOR CLINICAL STUDY; NATURAL LANGUAGE PROCESSING; PHYSICIAN; PROBABILITY; RECALL; RECEIVER OPERATING CHARACTERISTIC; SHIGELLOSIS;

ALGORITHMS; BAYES THEOREM; DYSENTERY, BACILLARY; ELECTRONIC HEALTH RECORDS; EMERGENCY SERVICE, HOSPITAL; HUMANS; INFLUENZA, HUMAN; INFORMATION STORAGE AND RETRIEVAL; NATURAL LANGUAGE PROCESSING;

EID: 84906323779     PISSN: 10675027     EISSN: 1527974X     Source Type: Journal    
DOI: 10.1136/amiajnl-2013-001934     Document Type: Article

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