This paper is in the following e-collection/theme issue:

Cardiac Arrhythmia, Atrial Fibrillation (104) Coronary Heart Disease (93) Advanced Data Analytics in eHealth (167) Decision Support for Health Professionals (1331) Artificial Intelligence (1698) Theme Issue: Bayesian Methods In Medical Research (27)

Published on in Vol 9 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/59380, first published .
Predicting Atrial Fibrillation Relapse Using Bayesian Networks: Explainable AI Approach

Predicting Atrial Fibrillation Relapse Using Bayesian Networks: Explainable AI Approach

Predicting Atrial Fibrillation Relapse Using Bayesian Networks: Explainable AI Approach

Authors of this article:

João Miguel Alves1, 2 Author Orcid Image ;   Daniel Matos3 Author Orcid Image ;   Tiago Martins1, 2 Author Orcid Image ;   Diogo Cavaco3 Author Orcid Image ;   Pedro Carmo3 Author Orcid Image ;   Pedro Galvão3 Author Orcid Image ;   Francisco Moscoso Costa3 Author Orcid Image ;   Francisco Morgado3 Author Orcid Image ;   António Miguel Ferreira3 Author Orcid Image ;   Pedro Freitas3 Author Orcid Image ;   Cláudia Camila Dias1, 2 Author Orcid Image ;   Pedro Pereira Rodrigues1, 2 Author Orcid Image ;   Pedro Adragão3 Author Orcid Image
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