Prediction of Atrial Fibrillation Recurrence after Thoracoscopic Surgical Ablation Using Machine Learning Techniques

Prediction of Atrial Fibrillation Recurrence after Thoracoscopic Surgical Ablation Using Machine Learning Techniques

Thoracoscopic surgical ablation (SA) for atrial fibrillation (AF) has shown to be an effective treatment to restore sinus rhythm in patients with advanced AF. Identifying patients who will not benefit from this procedure would be valuable to improve personalized AF therapy. Machine learning (ML) tec...

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Bibliographic Details
Main Authors: Sarah W. E. Baalman, Ricardo R. Lopes, Lucas A. Ramos, Jolien Neefs, Antoine H. G. Driessen, WimJan P. van Boven, Bas A. J. M. de Mol, Henk A. Marquering, Joris R. de Groot
Format: Article
Language:English
Published: MDPI AG 2021-09-01
Series:Diagnostics
Subjects:
atrial fibrillation
surgical ablation
machine learning
Online Access:https://www.mdpi.com/2075-4418/11/10/1787

Internet

https://www.mdpi.com/2075-4418/11/10/1787

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