Can machine learning successfully stratify Japanese HFpEF patients into distinct phenogroups?
Machine learning can successfully identify distinct clinical phenogroups in Japanese patients with HFpEF, which may aid in personalized management.
ML could successfully stratify Japanese HFpEF patients into three phenogroups (atherosclerosis and chronic kidney disease, atrial fibrillation, and younger and left ventricular hypertrophy groups).
Kyodo et al. (Wed,) studied this question.
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