Machine learning model for predicting urinary tract infection risk in febrile children under 3 years of age

The ML model constructed in this study can accurately predict UTI risk in febrile children under 3 years of age. The visual decision interpretation achieved through the SHAP framework can assist clinicians in quickly identifying high-risk children.