Prediction of 90 day readmission in heart failure with preserved ejection fraction by interpretable machine learning

Prediction of 90 day readmission in heart failure with preserved ejection fraction by interpretable machine learning

Abstract Aims Certain critical risk factors of heart failure with preserved ejection fraction (HFpEF) patients were significantly different from those of heart failure with reduced ejection fraction (HFrEF) patients, resulting in the limitations of existing predictive models in real‐world situations...

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Bibliographic Details
Main Authors: Baojia Zheng, Tao Liang, Jianping Mei, Xiuru Shi, Xiaohui Liu, Sikai Li, Yuting Wan, Yifeng Zheng, Xiaoyue Yang, Yanxia Huang
Format: Article
Language:English
Published: Wiley 2024-12-01
Series:ESC Heart Failure
Subjects:
Chinese people
heart failure with preserved ejection fraction
machine learning
patient readmission
Online Access:https://doi.org/10.1002/ehf2.15033

Internet

https://doi.org/10.1002/ehf2.15033

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