Article

Unsupervised Clustering Applied to Electronic Health Record-derived Phenotypes in Patients with Heart Failure

2022-10-31

Abstract excerpt

<h4>ABSTRACT</h4> <h4>Background</h4> High-dimensional electronic health records (EHR) data can be used to phenotype complex diseases. The aim of this study is to apply unsupervised clustering to EHR-based traits derived in a cohort of patients with heart failure (HF) from a large integrated health system. <h4>Methods</h4> Using the institutional EHR, we identified 8569 patients with HF and extracted 1263 EHR-b...

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Literature Corpus work: a56991a2-b739-593e-8002-1d741175c741
DOI: 10.1101/2022.10.31.22281772

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