Xingxian Huang

Machine Learning-Based Risk Assessment Framework for Early Prediction and Nursing Intervention in Neonatal Hyperbilirubinemia

In this study, XGBoost, an explainable machine learning framework for early newborn hyperbilirubinemia prediction and risk stratification, is compared to Logistic Regression (LR), Random Forest (RF), Support Vector Machine (SVM), and Deep Neural Networks. Prediction models used T...