Heart failure with preserved ejection fraction phenogroup classification using machine learning

Heart failure with preserved ejection fraction phenogroup classification using machine learning

Abstract Aims Heart failure (HF) with preserved ejection fraction (HFpEF) is a complex syndrome with a poor prognosis. Phenotyping is required to identify subtype‐dependent treatment strategies. Phenotypes of Japanese HFpEF patients are not fully elucidated, whose obesity is much less than Western p...

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Bibliographic Details
Main Authors: 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
Format: Article
Language:English
Published: Wiley 2023-06-01
Series:ESC Heart Failure
Subjects:
Heart failure with preserved ejection fraction
Machine learning
Unsupervised clustering
Online Access:https://doi.org/10.1002/ehf2.14368

Internet

https://doi.org/10.1002/ehf2.14368

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