Machine learning-based risk models for procedural complications of radiofrequency ablation for atrial fibrillation

Machine learning-based risk models for procedural complications of radiofrequency ablation for atrial fibrillation

Abstract Background Radiofrequency ablation (RFA) for atrial fibrillation (AF) is associated with a risk of complications. This study aimed to develop and validate risk models for predicting complications after radiofrequency ablation of atrial fibrillation patients. Methods This retrospective cohor...

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Bibliographic Details
Main Authors: Rong Li, Lan Shen, Wenyan Ma, Linfeng Li, Bo Yan, Yuna Wei, Yao Wang, Changqing Pan, Junyi Yuan
Format: Article
Language:English
Published: BMC 2023-11-01
Series:BMC Medical Informatics and Decision Making
Subjects:
Atrial fibrillation
Radiofrequency ablation
Machine learning
Predictive model
Online Access:https://doi.org/10.1186/s12911-023-02347-5

Internet

https://doi.org/10.1186/s12911-023-02347-5

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