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Article

Combining billing codes, clinical notes, and medications from electronic health records provides superior phenotyping performance.

Journal of the American Medical Informatics Association : JAMIA - 1 Apr 2016

Wei Wei-Qi, Teixeira Pedro L, Mo Huan, Cronin Robert M, Warner Jeremy L, Denny Joshua C

Abstract excerpt

OBJECTIVE: To evaluate the phenotyping performance of three major electronic health record (EHR) components: International Classification of Disease (ICD) diagnosis codes, primary notes, and specific medications. MATERIALS AND METHODS: We conducted the evaluation using de-identified Vanderbilt EHR data. We preselected ten diseases: atrial fibrillation, Alzheimer's disease, breast cancer, gout, human...

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Identifiers

PMID: 26338219
DOI: 10.1093/jamia/ocv130
PMCID: PMC4954637

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PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 7 Sept 2026. Manifest publication-graph-cohort-2026-09-07.1.

Source receipt: pubmed, retrieved 7 Sept 2026.

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