Using Machine Learning to Enhance Prediction of Atrial Fibrillation Recurrence after Catheter Ablation-Reference-Cited by-同舟云学术

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Using Machine Learning to Enhance Prediction of Atrial Fibrillation Recurrence after Catheter Ablation

Published:2022 Issue: Volume: Page:
ISSN:1556-5068
Container-title:SSRN Electronic Journal
language:en
Short-container-title:SSRN Journal

Author:

Brahier Mark,Zou Fengwei,Abdulkareem Musa,Kochi Shwetha,Migliarese Frank,Taylor Alexandra,Thomaides Athanasios,Ma Xiaoyang,Wu Colin O.,Sandfort Veit,Bergquist Peter J.,Srichai Monvadi B.,Petersen Steffen E.,Vargas Jose D.

Publisher

Elsevier BV

Subject

General Earth and Planetary Sciences,General Environmental Science

Reference30 articles.

1. The clinical profile and pathophysiology of atrial fibrillation: relationships among clinical features, epidemiology, and mechanisms;J Andrade;Circ Res,2014

2. Epidemiologic assessment of chronic atrial fibrillation and risk of stroke: the Framingham study;P A Wolf;Neurology,1978

3. Clinical scores for outcomes of rhythm control or arrhythmia progression in patients with atrial fibrillation: a systematic review;H Deng;Clin Res Cardiol,2017

4. consensus statement on catheter and surgical ablation of atrial fibrillation: Executive summary;Europace,2018

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