An algorithm for identification and classification of individuals with type 1 and type 2 diabetes mellitus in a large primary care database

Clinical Epidemiology

Volumn 8, Issue , 2016, Pages 373-380

  Sharma, Manuj ^a   Petersen, Irene ^a,b   Nazareth, Irwin ^a   Coton, Sonia J ^a  

^a UNIVERSITY COLLEGE LONDON   (United Kingdom)

^b AARHUS UNIVERSITY   (Denmark)

Author keywords

Algorithm; Databases; Diabetes and endocrinology; Epidemiology; Public health

Indexed keywords

HEMOGLOBIN A1C;

ADULT; ARTICLE; CLASSIFICATION ALGORITHM; COHORT ANALYSIS; CONTROLLED STUDY; DIAGNOSTIC ACCURACY; DIAGNOSTIC CODE; DIAGNOSTIC TEST ACCURACY STUDY; DISEASE CLASSIFICATION; ELECTRONIC HEALTH RECORD; HUMAN; INSULIN DEPENDENT DIABETES MELLITUS; INTERNAL VALIDITY; MAJOR CLINICAL STUDY; NON INSULIN DEPENDENT DIABETES MELLITUS; ONSET AGE; PARAMETERS; PREDICTIVE VALUE; PRESCRIPTION; PRIMARY MEDICAL CARE; SENSITIVITY AND SPECIFICITY; UNITED KINGDOM; VALIDATION STUDY;

EID: 84991780775     PISSN: None     EISSN: 11791349     Source Type: Journal    
DOI: 10.2147/CLEP.S113415     Document Type: Article

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