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The Absence of Longitudinal Data Limits the Accuracy of High-Throughput Clinical Phenotyping for Identifying Type 2 Diabetes Mellitus Subjects
PURPOSE: To evaluate the impact of insufficient longitudinal data on the accuracy of a high-throughput clinical phenotyping (HTCP) algorithm for identifying 1) patients with type 2 diabetes mellitus (T2DM) and 2) patients with no diabetes. METHODS: Retrospective study conducted at Mayo Clinic in Roc...
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| Main Authors: | , , , , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
2012
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC3478423/ https://ncbi.nlm.nih.gov/pubmed/22762862 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.ijmedinf.2012.05.015 |
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