Machine Learning Prediction for the Recurrence After Electrical Cardioversion of Patients With Persistent Atrial Fibrillation.
Soonil KwonEunjung LeeHojin JuHyo-Jeong AhnSo Ryoung LeeEue-Keun ChoiJangwon SuhSeil OhWonjong RheePublished in: Korean circulation journal (2023)
Machine learning showed modest performance in predicting AF recurrence after ECV in persistent AF patients, warranting further validation studies.
Keyphrases
- atrial fibrillation
- machine learning
- end stage renal disease
- oral anticoagulants
- left atrial
- catheter ablation
- ejection fraction
- chronic kidney disease
- left atrial appendage
- newly diagnosed
- artificial intelligence
- direct oral anticoagulants
- prognostic factors
- big data
- peritoneal dialysis
- patient reported outcomes
- deep learning
- mitral valve