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

João Miguel Alves   1, 2 , MSc ;   Daniel Matos   3 , MD ;   Tiago Martins   1, 2 , MSc ;   Diogo Cavaco   3 , MD ;   Pedro Carmo   3 , MD ;   Pedro Galvão   3 , MD ;   Francisco Moscoso Costa   3 , MD ;   Francisco Morgado   3 , MD ;   António Miguel Ferreira   3 , MD ;   Pedro Freitas   3 , MD ;   Cláudia Camila Dias   1, 2 , PhD ;   Pedro Pereira Rodrigues   1, 2 * , PhD ;   Pedro Adragão   3 * , PhD

1 Department of Community Medicine, Information and Health Decision Sciences, Faculty of Medicine, University of Porto, Porto, Portugal

2 CINTESIS @ RISE – Center for Health Technology and Services Research, Porto, Portugal

3 Cardiology and Electrophysiology Department, Hospital de Santa Cruz, Centro Hospitalar de Lisboa Ocidental, Carnaxide, Portugal

*these authors contributed equally

Corresponding Author:

  • João Miguel Alves, MSc
  • Department of Community Medicine
  • Information and Health Decision Sciences
  • Faculty of Medicine, University of Porto
  • Rua Dr Plácido da Costa
  • Porto, 4200-450
  • Portugal
  • Phone: 351 22 551 3622
  • Email: jalves@med.up.pt