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
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Rua Dr Plácido da Costa
-
Porto, 4200-450
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Portugal
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Phone:
351 22 551 3622
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Email: jalves@med.up.pt