
A multicenter study developed and validated predictive models using six clinical and lab parameters to identify newborns at risk of necrotizing enterocolitis (NEC). Among five ML models and logistic regression, the LightGBM model showed the best performance (AUC = 0.960; sensitivity = 97%). This simple, accurate tool can guide early clinical interventions and improve neonatal outcomes.
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