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Article

Phenotyping coronavirus disease 2019 during a global health pandemic: Lessons learned from the characterization of an early cohort.

Journal of biomedical informatics - 1 May 2021

DeLozier Sarah, Bland Harris T, McPheeters Melissa, Wells Quinn, Farber-Eger Eric, Bejan Cosmin A, Fabbri Daniel, Rosenbloom Trent, Roden Dan, Johnson Kevin B, Wei Wei-Qi, Peterson Josh, Bastarache Lisa

Abstract excerpt

From the start of the coronavirus disease 2019 (COVID-19) pandemic, researchers have looked to electronic health record (EHR) data as a way to study possible risk factors and outcomes. To ensure the validity and accuracy of research using these data, investigators need to be confident that the phenotypes they construct are reliable and accurate, reflecting the healthcare settings from which they are ascertained....

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Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

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Source

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Identifiers

PMID: 33838341
DOI: 10.1016/j.jbi.2021.103777
PMCID: PMC8026248

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 6 Sept 2026. Manifest publication-graph-cohort-2026-09-06.1.

Source receipt: pubmed, retrieved 6 Sept 2026.

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