External Validation of Clinical Risk Scores and Machine Learning Models for Predicting 30-Day Cardiovascular Risk After Noncardiac Surgery: The PERICARE Study
Background: Machine learning (ML) has emerged as a promising approach for preoperative cardiovascular risk prediction; however, the generalizability of ML models across institutions remains uncertain. Moreover, comprehensive head-to-head comparisons between ML algorithms and established clinical risk scores for predict...