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Article

The absence of longitudinal data limits the accuracy of high-throughput clinical phenotyping for identifying type 2 diabetes mellitus subjects.

International journal of medical informatics - 1 Apr 2013

Wei Wei-Qi, Leibson Cynthia L, Ransom Jeanine E, Kho Abel N, Chute Christopher G

Abstract excerpt

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 Rochester, Minnesota. Eligible subjects were Olmsted County residents with ≥1 Mayo Clinic encounter in each of three...

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Identifiers

PMID: 22762862
DOI: 10.1016/j.ijmedinf.2012.05.015
PMCID: PMC3478423

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PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 5 Sept 2026. Manifest publication-graph-cohort-2026-09-05.1.

Source receipt: pubmed, retrieved 5 Sept 2026.

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