Hong-qin Ren

XGBoost–SHAP-based interpretable predictive website for postoperative in-hospital mortality in patients with acute aortic dissection

Developing a convenient and accurate prognostic model for patients with acute aortic dissection (AAD) using routine demographic and clinical data is challenging. This study aimed to develop an interpretable web-based prediction model using extreme gradient boosting with Shapley a...