Identifying Cases of Type 2 Diabetes in Heterogeneous Data Sources: Strategy from the EMIF Project - Roberto, Giuseppe; Leal, Ingrid; Sattar, Naveed; Loomis, A. Katrina; Avillach, Paul; Egger, Peter; van Wijngaarden, Rients; Ansell, David; Reisberg, Sulev; Tammesoo, Mari-Liis; Alavere, Helene; Pasqua, Alessandro; et al. (PloS one, 2016)
Keywords: Age; Algorithms; Biology and Life Sciences; Building components; Causes of; Chronic illnesses; Collaboration; Data Mining - methods; Data sources; Databases, Factual; Derivation; Diabetes; Diabetes mellitus; Diabetes mellitus (non-insulin dependent); Diabetes Mellitus, Type 2 - epidemiology; Diabetis; Diagnostic systems; Documentation; Drugs; Electronic health records; Epidemiology; Europe - epidemiology; Female; Genomes; Health care; Health informatics; Heart; Heterogeneity; Hospitals; Humans; Information systems; Male; Medical diagnosis; Medical informatics; Medical records; Medical research; Medical screening; Medicine and Health Sciences; Mortality; Physical Sciences; Physicians; Primary care; Protocols clínics; Research and Analysis Methods; Source studies; Standard data; Type 2 diabetes; United States; New York; Netherlands; United Kingdom--UK; United States--US; Denmark; Italy; Aarhus Denmark; Estonia; Spain