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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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| Main Authors: | , , , , , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
American Diabetes Association
2013
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC3609529/ https://ncbi.nlm.nih.gov/pubmed/23193215 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.2337/dc12-0964 |
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