Predicting long‐term freedom from atrial fibrillation after catheter ablation by a machine learning algorithm: Validation of the CAAP‐AF score

Predicting long‐term freedom from atrial fibrillation after catheter ablation by a machine learning algorithm: Validation of the CAAP‐AF score

Abstract Background Preprocedural clinical predictors of the successful maintenance of sinus rhythm may contribute to optimal treatment strategies for atrial fibrillation (AF). The CAAP‐AF score, a novel simple tool scored as 0‐13 points (including six independent variables) has been proposed to pre...

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Bibliographic Details
Main Authors: Koichi Furui, Itsuro Morishima, Yasuhiro Morita, Yasunori Kanzaki, Kensuke Takagi, Ruka Yoshida, Hiroaki Nagai, Naoki Watanabe, Naoki Yoshioka, Ryota Yamauchi, Hideyuki Tsuboi, Toyoaki Murohara
Format: Article
Language:English
Published: Wiley 2020-04-01
Series:Journal of Arrhythmia
Subjects:
ablation outcomes
atrial fibrillation ablation
catheter ablation
cryoballoon ablation
radiofrequency ablation
Online Access:https://doi.org/10.1002/joa3.12303

Internet

https://doi.org/10.1002/joa3.12303

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