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Article

Developing and evaluating a pediatric asthma severity computable phenotype derived from electronic health records.

The Journal of allergy and clinical immunology - 1 Jun 2021

Peer Komal, Adams William G, Legler Aaron, Sandel Megan, Levy Jonathan I, Boynton-Jarrett Renée, Kim Chanmin, Leibler Jessica H, Fabian M Patricia

Abstract excerpt

BACKGROUND: Extensive data available in electronic health records (EHRs) have the potential to improve asthma care and understanding of factors influencing asthma outcomes. However, this work can be accomplished only when the EHR data allow for accurate measures of severity, which at present are complex and inconsistent. OBJECTIVE: Our aims were to create and evaluate a standardized pediatric asthma severity...

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Methodology Data sources Editorial policy Privacy Delete account & data About Contact Helena Bioinformatics

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Source

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Identifiers

PMID: 33338540
DOI: 10.1016/j.jaci.2020.11.045
PMCID: PMC8328264

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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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