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297 patient records from a study developing machine learning models to predict atrial fibrillation recurrence after catheter ablation. The dataset likely contains 37 clinical and cardiac computed tomography imaging features, including right atrial structural parameters. SHapley Additive exPlanations (SHAP) analysis was used to interpret the models, identifying key predictors like right atrial appendage short diameter and right atrial volume.
The primary data file is a DOCX document (44.4 KB), which may contain textual results and analysis rather than raw tabular data.