Jesse-cwl/Stroke-Prediction-in-AF: v1.0.0 – Stroke risk prediction in newly diagnosed AF

This release corresponds to the published article: Lin, C.-W., et al. Interpretable machine learning models for stroke risk prediction in patients with newly diagnosed atrial fibrillation. npj Digital Medicine (2026). https://doi.org/10.1038/s41746-026-02470-3 This version (v1.0.0) represents the finalized codebase used for: Model development (Logistic Regression and XGBoost) Internal validation External validation Calibration assessment Clinical utility evaluation (Decision Curve Analysis) For reproducibility purposes, this release reflects the exact code associated with the published study.