Clinical Characteristics of Patients With Respiratory Infections After Nonpharmacological Interventions for COVID‐19 in China Have Ended: Using Machine Learning Approaches to Support Pathogen Prediction at Admission

Our interpretable ML model not only achieves accurate identification of Flu A and MP infections in febrile patients but also addresses the prevalent "black box" concerns associated with ML techniques. This technique can aid clinicians in enhancing diagnostic efficiency and accuracy. Therefore, this improvement can lead to reduced medical expenses by minimizing unnecessary tests and treatments.