Text mining for the vaccine adverse event reporting system: Medical text classification using informative feature selection

Journal of the American Medical Informatics Association

Volumn 18, Issue 5, 2011, Pages 631-638

  Botsis, Taxiarchis ^a,b   Nguyen, Michael D ^a   Woo, Emily Jane ^a   Markatou, Marianthi ^c,d   Ball, Robert ^a  

^a CENTER FOR BIOLOGICS EVALUATION AND RESEARCH   (United States)

^b UNIVERSITY OF TROMSØ   (Norway)

^c Cornell University ^*  (United States)

^d IBM T J WATSON RESEARCH CENTER   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

INFLUENZA VACCINE;

ACCURACY; ADVERSE OUTCOME; ARTICLE; AUTOMATION; DATA MINING; DRUG SURVEILLANCE PROGRAM; INFORMATION PROCESSING; MACHINE LEARNING; MEDICAL INFORMATION SYSTEM; MEDICAL PERSONNEL; RECALL; SENSITIVITY AND SPECIFICITY; VACCINATION; WORKLOAD;

ADVERSE DRUG REACTION REPORTING SYSTEMS; ANAPHYLAXIS; ARTIFICIAL INTELLIGENCE; DATA MINING; HUMANS; INFLUENZA A VIRUS, H1N1 SUBTYPE; NATURAL LANGUAGE PROCESSING; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY; SUPPORT VECTOR MACHINES; UNITED STATES; VIRAL VACCINES;

EID: 80053260063     PISSN: 10675027     EISSN: 1527974X     Source Type: Journal    
DOI: 10.1136/amiajnl-2010-000022     Document Type: Article

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