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Impact of data fragmentation across healthcare centers on the accuracy of a high-throughput clinical phenotyping algorithm for specifying subjects with type 2 diabetes mellitus

OBJECTIVE: To evaluate data fragmentation across healthcare centers with regard to the accuracy of a high-throughput clinical phenotyping (HTCP) algorithm developed to differentiate (1) patients with type 2 diabetes mellitus (T2DM) and (2) patients with no diabetes. MATERIALS AND METHODS: This popul...

Πλήρης περιγραφή

Αποθηκεύτηκε σε:
Λεπτομέρειες βιβλιογραφικής εγγραφής
Κύριοι συγγραφείς: Wei, Wei-Qi, Leibson, Cynthia L, Ransom, Jeanine E, Kho, Abel N, Caraballo, Pedro J, Chai, High Seng, Yawn, Barbara P, Pacheco, Jennifer A, Chute, Christopher G
Μορφή: Artigo
Γλώσσα:Inglês
Έκδοση: BMJ Group 2012
Θέματα:
Διαθέσιμο Online:https://ncbi.nlm.nih.gov/pmc/articles/PMC3277630/
https://ncbi.nlm.nih.gov/pubmed/22249968
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1136/amiajnl-2011-000597
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