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

Internet

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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