Harnessing Machine Learning for Early Prediction of Neonatal Sepsis: An Integrative Review

This review evaluated the impact of machine learning on the prediction of neonatal sepsis and concluded that the models enabled early intervention and diagnosis. Machine learning using biomarkers and vital signs improved sepsis risk prediction accuracy, leading to decreased morbidity and mortality in neonates.