BMC cardiovascular disorders
Comparative study of 11 machine learning algorithms for predicting recurrence risk after atrial fibrillation catheter ablation based on a real-world cohort: a retrospective study.
Yicheng Wang, Yi-Ming Peng, Zi-Ao Fan, Xiao-Lin Liao, Hong-Yi Yang, Jian-Quan Chen, Jian-Cheng Zhang
Published: 202610.1186/s12872-025-05489-8
Abstract
BACKGROUND: Atrial fibrillation (AF) is the most common arrhythmia worldwide, with catheter ablation being an effective yet recurrence-prone treatment. Given the limited accuracy of conventional risk scores in identifying patients at high risk of rec…
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