Phenomapping of patients with heart failure with preserved ejection fraction using machine learning‐based unsupervised cluster analysis

Abstract

To identify distinct phenotypic subgroups in a highly‐dimensional, mixed‐data cohort of individuals with heart failure (HF) with preserved ejection fraction (HFpEF) using unsupervised clustering analysis.