Development and internal temporal validation of an explainable XGBoost model for predicting clinical pregnancy after frozen embryo transfer
Key message An explainable machine learning model was developed using comprehensive clinical variables to predict clinical pregnancy outcomes following frozen embryo transfer. Compared with conventional statistical models, the extreme gradient boosting–based model showed numerically higher discrimination and provided i...
Xudong Hu, Yanchun Zhao, Yunping Ni et al.
· Frontiers in Endocrinology · 0 citations