Importance of multi-modal approaches to effectively identify cataract cases from electronic health records

Journal of the American Medical Informatics Association

Volumn 19, Issue 2, 2012, Pages 225-234

  Peissig, Peggy L ^a   Rasmussen, Luke V ^a,b   Berg, Richard L ^a   Linneman, James G ^a   McCarty, Catherine A ^a,c   Waudby, Carol ^a   Chen, Lin ^a   Denny, Joshua C ^d   Wilke, Russell A ^e   Pathak, Jyotishman ^f   Carrell, David ^g   Kho, Abel N ^b   Starren, Justin B ^b  

^a MARSHFIELD CLINIC   (United States)

^b NORTHWESTERN UNIVERSITY   (United States)

^c ESSENTIA INSTITUTE OF RURAL HEALTH   (United States)

^d VANDERBILT UNIVERSITY SCHOOL OF MEDICINE   (United States)

^e VANDERBILT UNIVERSITY   (United States)

^f MAYO CLINIC   (United States)

^g GROUP HEALTH RESEARCH INSTITUTE   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ADULT; ALGORITHM; ARTICLE; CATARACT; CATARACT EXTRACTION; CONTROLLED STUDY; DATA MINING; DIAGNOSTIC ACCURACY; DISEASE COURSE; ELECTRONIC MEDICAL RECORD; HUMAN; MAJOR CLINICAL STUDY; NATURAL LANGUAGE PROCESSING; PHENOTYPE; PREDICTIVE VALUE; SENSITIVITY AND SPECIFICITY; VALIDATION PROCESS;

ADULT; CATARACT; DATABASES, FACTUAL; ELECTRONIC HEALTH RECORDS; HUMANS; INFORMATION STORAGE AND RETRIEVAL; NATURAL LANGUAGE PROCESSING; PHENOTYPE;

EID: 84863123646     PISSN: 10675027     EISSN: 1527974X     Source Type: Journal    
DOI: 10.1136/amiajnl-2011-000456     Document Type: Article

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