Optimizing predictive features using machine learning for early miscarriage risk following single vitrified-warmed blastocyst transfer

Ensemble machine learning models, particularly the Voting Classifier and Gradient Boosting Classifier, significantly improve the prediction of early miscarriage following SVBT. These models provide accurate, individualized risk assessments, enhancing clinical decision-making and advancing personalized care in ART.