Machine Learning-Predicted Progression to Permanent Atrial Fibrillation After Catheter Ablation

Machine Learning-Predicted Progression to Permanent Atrial Fibrillation After Catheter Ablation

IntroductionWe developed a prediction model for atrial fibrillation (AF) progression and tested whether machine learning (ML) could reproduce the prediction power in an independent cohort using pre-procedural non-invasive variables alone.MethodsCohort 1 included 1,214 patients and cohort 2, 658, and...

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Bibliographic Details
Main Authors: Je-Wook Park, Oh-Seok Kwon, Jaemin Shim, Inseok Hwang, Yun Gi Kim, Hee Tae Yu, Tae-Hoon Kim, Jae-Sun Uhm, Jong-Youn Kim, Jong Il Choi, Boyoung Joung, Moon-Hyoung Lee, Young-Hoon Kim, Hui-Nam Pak
Format: Article
Language:English
Published: Frontiers Media S.A. 2022-02-01
Series:Frontiers in Cardiovascular Medicine
Subjects:
atrial fibrillation
catheter ablation
progression
machine learning
risk score
Online Access:https://www.frontiersin.org/articles/10.3389/fcvm.2022.813914/full

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https://www.frontiersin.org/articles/10.3389/fcvm.2022.813914/full

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