Heart Failure with Preserved Ejection Fraction Phenogroup Classification Using Machine Learning
ESC Heart Failure2023Vol. 10(3), pp. 2019–2030
Citations Over TimeTop 10% of 2023 papers
Atsushi Kyodo, Koshiro Kanaoka, Ayaka Keshi, Maki Nogi, Kazutaka Nogi, Satomi Ishihara, Daisuke Kamon, Yukihiro Hashimoto, Yasuki Nakada, Tomoya Ueda, Ayako Seno, Taku Nishida, Kenji Onoue, Tsuneari Soeda, Rika Kawakami, Makoto Watanabe, Toshiyuki Nagai, Toshihisa Anzai, Yoshihiko Saito
Abstract
ML could successfully stratify Japanese HFpEF patients into three phenogroups (atherosclerosis and chronic kidney disease, atrial fibrillation, and younger and left ventricular hypertrophy groups).
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