Development and validation of a machine learning-based model for perioperative stroke prediction in noncardiac, nonvascular, and nonneurosurgical patients

The GBM model demonstrated strong predictive performance and generalizability for perioperative stroke risk in noncardiac, nonvascular, and nonneurosurgical patients. The integration of this model into a real-time clinical decision support system enhances clinical decision-making by enabling the early identification of high-risk patients and facilitating personalized interventions.