Machine learning‐based model for worsening heart failure risk in Chinese chronic heart failure patients

Machine learning‐based model for worsening heart failure risk in Chinese chronic heart failure patients

Abstract Aims This study aims to develop and validate an optimal model for predicting worsening heart failure (WHF). Multiple machine learning (ML) algorithms were compared, and the results were interpreted using SHapley Additive exPlanations (SHAP). A clinical risk calculation tool was subsequently...

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Bibliographic Details
Main Authors: Ziyi Sun, Zihan Wang, Zhangjun Yun, Xiaoning Sun, Jianguo Lin, Xiaoxiao Zhang, Qingqing Wang, Jinlong Duan, Li Huang, Lin Li, Kuiwu Yao
Format: Article
Language:English
Published: Wiley 2025-02-01
Series:ESC Heart Failure
Subjects:
Chronic heart failure
Machine learning
Prediction
Risk models
Worsening heart failure
Online Access:https://doi.org/10.1002/ehf2.15066
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