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Article

Accuracy of Asthma Computable Phenotypes to Identify Pediatric Asthma at an Academic Institution.

Methods of information in medicine - 1 Dec 2020

Ross Mindy K, Zheng Henry, Zhu Bing, Lao Ailina, Hong Hyejin, Natesan Alamelu, Radparvar Melina, Bui Alex A T

Abstract excerpt

OBJECTIVES: Asthma is a heterogenous condition with significant diagnostic complexity, including variations in symptoms and temporal criteria. The disease can be difficult for clinicians to diagnose accurately. Properly identifying asthma patients from the electronic health record is consequently challenging as current algorithms (computable phenotypes) rely on diagnostic codes (e.g., International Classification...

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Identifiers

PMID: 34261147
DOI: 10.1055/s-0041-1729951
PMCID: PMC9113735

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PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 7 Sept 2026. Manifest publication-graph-cohort-2026-09-08.1.

Source receipt: pubmed, retrieved 7 Sept 2026.

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