The Yale cTAKES extensions for document classification: Architecture and application

Journal of the American Medical Informatics Association

Volumn 18, Issue 5, 2011, Pages 614-620

  Garla, Vijay ^a   Re III , Vincent Lo ^b   Dorey Stein, Zachariah ^b   Kidwai, Farah ^c   Scotch, Matthew ^c,d   Womack, Julie ^c,e   Justice, Amy ^c,f   Brandt, Cynthia ^c,f  

^a YALE UNIVERSITY   (United States)

^b UNIVERSITY OF PENNSYLVANIA   (United States)

^c VA CONNECTICUT HEALTHCARE SYSTEM   (United States)

^d ARIZONA STATE UNIVERSITY   (United States)

^e YALE UNIVERSITY SCHOOL OF NURSING   (United States)

^f YALE UNIVERSITY SCHOOL OF MEDICINE   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ARTICLE; DOCUMENT EXAMINATION; MACHINE LEARNING; NATURAL LANGUAGE PROCESSING; SCORING SYSTEM;

CONNECTICUT; DATA MINING; DECISION SUPPORT SYSTEMS, CLINICAL; ELECTRONIC HEALTH RECORDS; HUMANS; LIVER FAILURE; NATURAL LANGUAGE PROCESSING; PATTERN RECOGNITION, AUTOMATED; RADIOLOGY INFORMATION SYSTEMS;

EID: 80053230002     PISSN: 10675027     EISSN: 1527974X     Source Type: Journal    
DOI: 10.1136/amiajnl-2011-000093     Document Type: Article

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