Use of computerized algorithm to identify individuals in need of testing for celiac disease

Journal of the American Medical Informatics Association

Volumn 20, Issue E2, 2013, Pages

  Ludvigsson, Jonas F ^a,b,c   Pathak, Jyotishman ^d   Murphy, Sean ^d   Durski, Matthew ^d   Kirsch, Phillip S ^d   Chute, Christophe G ^d   Ryu, Euijung ^d   Murray, Joseph A ^c  

^a ÖREBRO UNIVERSITY HOSPITAL   (Sweden)

^b KAROLINSKA INSTITUTE   (Sweden)

^c MAYO CLINIC   (United States)

^d Mayo Clinic College of Medicine   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ADULT; ALGORITHM; ARTICLE; CELIAC DISEASE; CHRONIC DIARRHEA; CONTROLLED STUDY; DOWN SYNDROME; ELECTRONIC MEDICAL RECORD; FEMALE; HIGH RISK PATIENT; HIGH RISK POPULATION; HISTOPATHOLOGY; HUMAN; ICD-9; INSULIN DEPENDENT DIABETES MELLITUS; INTESTINE VILLUS ATROPHY; MAJOR CLINICAL STUDY; MALE; NATURAL LANGUAGE PROCESSING; OSTEOPOROSIS; OUTCOME ASSESSMENT; PATIENT CODING; PATIENT IDENTIFICATION; PREDICTIVE VALUE; SCREENING; SENSITIVITY AND SPECIFICITY; THYROID DISEASE; WEIGHT REDUCTION;

ALGORITHM; ARTIFICIAL INTELLIGENCE; CELIAC; DECISION SUPPORT SYSTEM, CLINICAL; INFLAMMATION;

ADULT; AGE DISTRIBUTION; ALGORITHMS; CELIAC DISEASE; CHILD; ELECTRONIC HEALTH RECORDS; FEMALE; HUMANS; INTERNATIONAL CLASSIFICATION OF DISEASES; MALE; NATURAL LANGUAGE PROCESSING; PHENOTYPE; RISK; SEX DISTRIBUTION;

EID: 84890404302     PISSN: 10675027     EISSN: 1527974X     Source Type: Journal    
DOI: 10.1136/amiajnl-2013-001924     Document Type: Article

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