Predicting Early recurrence of atrial fibrilation post-catheter ablation using machine learning techniques
Amir Askarinejad,
Amirreza Sabahizadeh,
Erfan Kohansal
et al.
Abstract:Background
Catheter ablation is a common treatment for atrial fibrillation (AF), but recurrence rates remain variable. Predicting the success of catheter ablation is crucial for patient selection and management. This research seeks to create a machine learning model to forecast the early recurrence of atrial fibrillation following catheter ablation.
Methods
A prospective longitudinal study was conducted using data from the Iranian AF registry. The dataset included 402 c… Show more
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