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Article

A general framework for developing computable clinical phenotype algorithms.

Journal of the American Medical Informatics Association : JAMIA - 1 Aug 2024

Carrell David S, Floyd James S, Gruber Susan, Hazlehurst Brian L, Heagerty Patrick J, Nelson Jennifer C, Williamson Brian D, Ball Robert

Abstract excerpt

OBJECTIVE: To present a general framework providing high-level guidance to developers of computable algorithms for identifying patients with specific clinical conditions (phenotypes) through a variety of approaches, including but not limited to machine learning and natural language processing methods to incorporate rich electronic health record data. MATERIALS AND METHODS: Drawing on extensive prior phenotyping...

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Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

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Identifiers

PMID: 38748991
DOI: 10.1093/jamia/ocae121
PMCID: PMC11258420

Provenance

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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