Machine learning can identify distinct phenogroups in HFpEF with differing clinical outcomes and biomarker profiles, highlighting the heterogeneity of the disease.
Using machine learning we identified distinct HFpEF phenogroups with differential characteristics and outcomes, as well as differential levels of inflammatory and cardiovascular proteins.
Hedman et al. (Tue,) studied this question.