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Article

Defining disease phenotypes using national linked electronic health records: a case study of atrial fibrillation.

PloS one - 1 Jan 2014

Morley Katherine I, Wallace Joshua, Denaxas Spiros C, Hunter Ross J, Patel Riyaz S, Perel Pablo, Shah Anoop D, Timmis Adam D, Schilling Richard J, Hemingway Harry

Abstract excerpt

BACKGROUND: National electronic health records (EHR) are increasingly used for research but identifying disease cases is challenging due to differences in information captured between sources (e.g. primary and secondary care). Our objective was to provide a transparent, reproducible model for integrating these data using atrial fibrillation (AF), a chronic condition diagnosed and managed in multiple ways in...

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Identifiers

PMID: 25369203
DOI: 10.1371/journal.pone.0110900
PMCID: PMC4219705

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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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