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Article

Text mining applied to electronic cardiovascular procedure reports to identify patients with trileaflet aortic stenosis and coronary artery disease.

Journal of biomedical informatics - 1 Aug 2017

Small Aeron M, Kiss Daniel H, Zlatsin Yevgeny, Birtwell David L, Williams Heather, Guerraty Marie A, Han Yuchi, Anwaruddin Saif, Holmes John H, Chirinos Julio A, Wilensky Robert L, Giri Jay, Rader Daniel J

Abstract excerpt

BACKGROUND: Interrogation of the electronic health record (EHR) using billing codes as a surrogate for diagnoses of interest has been widely used for clinical research. However, the accuracy of this methodology is variable, as it reflects billing codes rather than severity of disease, and depends on the disease and the accuracy of the coding practitioner. Systematic application of text mining to the EHR has had...

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Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

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Source

Identifiers

PMID: 28624641
DOI: 10.1016/j.jbi.2017.06.016

Genes

CAD

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PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 5 Sept 2026. Manifest publication-graph-cohort-2026-09-05.1.

Source receipt: pubmed, retrieved 5 Sept 2026.

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