This study introduces a clinical prediction model that can assist emergency doctors in managing febrile children who are at risk of serious bacterial infections. By using a combination of clinical features and laboratory tests, the model can accurately predict the likelihood of bacterial infections and guide clinicians to make appropriate treatment decisions. This model has the potential to improve the quality of care for young patients and reduce unnecessary healthcare costs.