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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...

पूर्ण विवरण

में बचाया:
ग्रंथसूची विवरण
मुख्य लेखकों: Wei, Wei-Qi, Leibson, Cynthia L., Ransom, Jeanine E., Kho, Abel N., Chute, Christopher G.
स्वरूप: Artigo
भाषा:Inglês
प्रकाशित: 2012
विषय:
ऑनलाइन पहुंच: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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