Machine learning-based prediction model for recurrence after radiofrequency catheter ablation in patients with atrial fibrillation

Machine learning-based prediction model for recurrence after radiofrequency catheter ablation in patients with atrial fibrillation

BackgroundThis study seeks to develop and validate a machine learning (ML) model for predicting atrial fibrillation (AF) recurrence at 12 months following radiofrequency catheter ablation (RFCA).MethodsA total of 430 consecutive patients with atrial fibrillation undergoing first-time radiofrequency...

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Bibliographic Details
Main Authors: Lujing Nie, Tianwei Zhang, Wenhua Wang, Xuefu Han, Meng Liu, Shujie Zhang, Wenjiu Feng, Yujie Wang, Yanbo Chen
Format: Article
Language:English
Published: Frontiers Media S.A. 2025-08-01
Series:Frontiers in Cardiovascular Medicine
Subjects:
atrial fibrillation
machine learning
radiofrequency ablation
recurrence
prediction model
Online Access:https://www.frontiersin.org/articles/10.3389/fcvm.2025.1642409/full
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