Automated extraction of clinical traits of multiple sclerosis in electronic medical records

Journal of the American Medical Informatics Association

Volumn 20, Issue E2, 2013, Pages

  Davis, Mary F ^a   Sriram, Subramaniam ^b   Bush, William S ^a,b   Denny, Joshua C ^b   Haines, Jonathan L ^a,b  

^a VANDERBILT UNIVERSITY SCHOOL OF MEDICINE   (United States)

^b VANDERBILT UNIVERSITY MEDICAL CENTER   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

OLIGOCLONAL BAND;

ACCURACY; ADOLESCENT; ADULT; AGED; ALGORITHM; ARTICLE; CHILD; CLINICAL FEATURE; CLINICAL STUDY; DATA ANALYSIS SOFTWARE; DATA EXTRACTION; DISEASE COURSE; ELECTRONIC MEDICAL RECORD; EXPANDED DISABILITY STATUS SCALE; FEMALE; HUMAN; ICD-9; MAJOR CLINICAL STUDY; MALE; MULTIPLE SCLEROSIS; NATURAL LANGUAGE PROCESSING; PRESCHOOL CHILD; SCHOOL CHILD; SCORING SYSTEM;

ELECTRONIC HEALTH RECORDS; MULTIPLE SCLEROSIS;

ADOLESCENT; ADULT; AGED; AGED, 80 AND OVER; ALGORITHMS; CHILD; DATA MINING; DISEASE PROGRESSION; ELECTRONIC HEALTH RECORDS; FEMALE; HUMANS; MALE; MIDDLE AGED; MULTIPLE SCLEROSIS; NATURAL LANGUAGE PROCESSING;

EID: 84890524645     PISSN: 10675027     EISSN: 1527974X     Source Type: Journal    
DOI: 10.1136/amiajnl-2013-001999     Document Type: Article

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