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Open access Oct 2026

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...

Hong-Zhen Yu, Xi-Qiu Zeng, Yu-Fei Tan et al. · 0 citations

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