Impact of data fragmentation across healthcare centers on the accuracy of a high-throughput clinical phenotyping algorithm for specifying subjects with type 2 diabetes mellitus

Journal of the American Medical Informatics Association

Volumn 19, Issue 2, 2012, Pages 219-224

  Wei, Wei Qi ^a,b   Leibson, Cynthia L ^b   Ransom, Jeanine E ^b   Kho, Abel N ^c   Caraballo, Pedro J ^b   Chai, High Seng ^b   Yawn, Barbara P ^d   Pacheco, Jennifer A ^c   Chute, Christopher G ^b  

^a UNIVERSITY OF MINNESOTA   (United States)

^b MAYO CLINIC   (United States)

^c NORTHWESTERN UNIVERSITY   (United States)

^d OLMSTED MEDICAL CENTER   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ADULT; AGE DISTRIBUTION; ARTICLE; ELECTRONIC MEDICAL RECORD; FALSE NEGATIVE RESULT; FALSE POSITIVE RESULT; FEMALE; GENETIC ALGORITHM; HEALTH CENTER; HIGH THROUGHPUT CLINICAL PHENOTYPING; HUMAN; MAJOR CLINICAL STUDY; MALE; NON INSULIN DEPENDENT DIABETES MELLITUS; PATIENT IDENTIFICATION; PHENOTYPE; POPULATION BASED CASE CONTROL STUDY; PREDICTIVE VALUE; SEX RATIO;

AGE DISTRIBUTION; ALGORITHMS; AMBULATORY CARE FACILITIES; DIABETES MELLITUS, TYPE 2; DIAGNOSTIC ERRORS; FEMALE; HUMANS; MALE; MINNESOTA; PHENOTYPE; PREDICTIVE VALUE OF TESTS; SEX DISTRIBUTION;

EID: 84857165460     PISSN: 10675027     EISSN: 1527974X     Source Type: Journal    
DOI: 10.1136/amiajnl-2011-000597     Document Type: Article

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