Predictive Value of Machine Learning for Recurrence of Atrial Fibrillation after Catheter Ablation: A Systematic Review and Meta-Analysis
Xingman Fan,
Yanyan Li,
Qiongyi He
et al.
Abstract:Background:
Accurate detection of atrial fibrillation (AF) recurrence
after catheter ablation is crucial. In this study, we aimed to conduct a
systematic review of machine-learning-based recurrence detection in the relevant
literature.
Methods:
We conducted a comprehensive search of
PubMed, Embase, Cochrane, and Web of Science databases from 1980 to December 31,
2022 to identify studies on prediction models for AF recurrence risk after
catheter ablation. We used t… Show more
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