Discussion
RECURRENCE
In this study, an explainable ML model was developed and tested to reveal its decision-making process in identifying patients with paroxysmal AF at high risk for recurrence after catheter ablation. The top 15 features and their specific impact on outcome prediction were revealed through SHAP analysis. ERAF showed the most positive impact on model output, and female patients had a higher risk of AF recurrence compared to male patients. CHA