Xi-Qiu Zeng

Development of a machine learning-based predictive model for feeding intolerance risk in preterm infants: A prospective cohort study.

Feeding intolerance (FI) is a common complication in premature infants, often resulting in delayed achievement of full enteral feeding and prolonged hospitalization. This study aimed to construct an interpretable risk-prediction model for FI using machine-learning algorithms based on routine electronic medical-record d...