Predictive Value of Machine Learning for Recurrence of Atrial Fibrillation after Catheter Ablation: A Systematic Review and Meta-Analysis.

Journal: Reviews in cardiovascular medicine
Published Date: Nov 16, 2023

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.

Authors

  • Xingman Fan
    Graduate School, Hebei North University, 075000 Zhangjiakou, Hebei, China.
  • Yanyan Li
    Department of Center of Integrated Traditional Chinese and Western Medicine, Beijing Ditan Hospital, Capital Medical University, Beijing, People's Republic of China.
  • Qiongyi He
    Air Force Clinical medical college, Fifth Clinical College of Anhui Medical University, 230032 Hefei, Anhui, China.
  • Meng Wang
    State Key Laboratory of Urban Water Resource and Environment, School of Environment, Harbin Institute of Technology, Harbin 150001, China.
  • Xiaohua Lan
    Graduate School, Hebei North University, 075000 Zhangjiakou, Hebei, China.
  • Kaijie Zhang
    Graduate School, Hebei North University, 075000 Zhangjiakou, Hebei, China.
  • Chenyue Ma
    Air Force Clinical medical college, Fifth Clinical College of Anhui Medical University, 230032 Hefei, Anhui, China.
  • Haitao Zhang
    Graduate School, Hebei North University, 075000 Zhangjiakou, Hebei, China.

Keywords

No keywords available for this article.

External Resources

Popular Topics
Recent Journals