Machine learning approach to stratify complex heterogeneity of chronic heart failure: A report from the CHART-2 study.

Kenji Nakano,Kotaro Nochioka,Satoshi Yasuda, Daito Tamori,Takashi Shiroto, Yudai Sato,Eichi Takaya,Satoshi Miyata,Eiryo Kawakami,Tetsuo Ishikawa,Takuya Ueda,Hiroaki Shimokawa

ESC heart failure（2023）

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摘要

These results suggest the potential applicability of the machine leaning approach, providing useful clinical prognostic information to stratify complex heterogeneity in patients with HF.

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关键词

Clustering,Cohort study,Heart failure,Machine learning,Prognosis

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