Unsupervised cluster analysis of patients with recovered left ventricular ejection fraction identifies unique clinical phenotypes

Authors

Andrew Perry, Washington University School of Medicine in St. Louis
Francis Loh, Washington University School of Medicine in St. Louis
Luigi Adamo, Washington University School of Medicine in St. Louis
Kathleen W. Zhang, Washington University School of Medicine in St. Louis
Elena Deych, Washington University School of Medicine in St. Louis
Randi Foraker, Washington University School of Medicine in St. Louis
Douglas L. Mann, Washington University School of Medicine in St. Louis

Journal

PLoS One

Publication Date

1-1-2021

Volume

16

Issue

3

First Page

e0248317

Document Type

Open Access Publication

DOI

10.1371/journal.pone.0248317

Rights and Permissions

Perry A, Loh F, Adamo L, Zhang KW, Deych E, et al. (2021) Unsupervised cluster analysis of patients with recovered left ventricular ejection fraction identifies unique clinical phenotypes. PLOS ONE 16(3): e0248317. https://doi.org/10.1371/journal.pone.0248317

Recommended Citation

Perry, Andrew; Loh, Francis; Adamo, Luigi; Zhang, Kathleen W.; Deych, Elena; Foraker, Randi; and Mann, Douglas L., "Unsupervised cluster analysis of patients with recovered left ventricular ejection fraction identifies unique clinical phenotypes." PLoS One. 16, 3. e0248317 (2021).
https://digitalcommons.wustl.edu/open_access_pubs/10231