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Automated Detection and Classification of Type 1 Versus Type 2 Diabetes Using Electronic Health Record Data

OBJECTIVE: To create surveillance algorithms to detect diabetes and classify type 1 versus type 2 diabetes using structured electronic health record (EHR) data. RESEARCH DESIGN AND METHODS: We extracted 4 years of data from the EHR of a large, multisite, multispecialty ambulatory practice serving ∼7...

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Detalles Bibliográficos
Autores principales:	Klompas, Michael, Eggleston, Emma, McVetta, Jason, Lazarus, Ross, Li, Lingling, Platt, Richard
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	American Diabetes Association 2013
Materias:	Original Research
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3609529/ https://www.ncbi.nlm.nih.gov/pubmed/23193215 http://dx.doi.org/10.2337/dc12-0964

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