Research on a machine learning-based predictive model for postoperative neurological dysfunction in acute Stanford type A aortic dissection

The XGBoost algorithm demonstrates superior efficacy in predicting postoperative ND in acute ATAAD patients, providing postoperative early warning, identifying high-risk patients, offering clinical guidance, and enabling timely intervention.