Prediction of three-year all-cause mortality in patients with heart failure and atrial fibrillation using the CatBoost model

Prediction of three-year all-cause mortality in patients with heart failure and atrial fibrillation using the CatBoost model

Abstract Background Heart failure and atrial fibrillation (HF-AF) frequently coexist, resulting in complex interactions that substantially elevate mortality risk. This study aimed to develop and validate a machine learning (ML) model predicting the 3-year all-cause mortality risk in HF-AF patients t...

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Bibliographic Details
Main Authors: Jiacan Wu, Guanghong Tao, Siyuan Xie, Han Yang, Fenglin Qi, Naiyue Bao, Zhuo Li, Guanglei Chang, Hua Xiao
Format: Article
Language:English
Published: BMC 2025-07-01
Series:BMC Cardiovascular Disorders
Subjects:
Machine learning
Heart failure
Atrial fibrillation
All-cause mortality
Prediction model
Online Access:https://doi.org/10.1186/s12872-025-04928-w
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https://doi.org/10.1186/s12872-025-04928-w

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