From:  Integration of biomedical imaging and sensing technologies with AI-IoT for Materiovigilance and predictive modeling of stillbirth risk in maternal-fetal health monitoring

 List of models used for the prediction of stillbirth.

Model nameAccuracySensitivity (recall)SpecificityReferences
Blender model95.90%91.6%NS[18]
XGBoost96.70%25%90%[7]
GB classifier95.24%91%88%[19]
RF85.0%92.2%77.9%[9]
96.8%96.3%97.2%[20]
RF, LR, GB, XGBoost99.72%96.67%99.6%[21]
Stacking ensemble (SE) model90%91%88%[19]
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NS: not specified; GB: gradient boosting; RF: models random forest; XGBoost: extreme GB.