Interpretable machine learning for thyroid cancer recurrence predicton: Leveraging XGBoost and SHAP analysis

•Train and test an XGBoost model for recurrence prediction of patients suffering from thyroid cancer with high accuracy.•Use SHAP values to identify relevant biomarkers.•Use SHAP dependence plots to identify threshold values for patients at risk.•Our results could improve the identification of patie...

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