Infant death prediction using machine learning: A population-based retrospective study
Description
CONCLUSIONS: XGBoost-based models excel in predicting infant death, providing valuable prognostic information for perinatal care education and counselling. The simplified four-predictor classification system could serve as a practical alternative for
