Based on emergency patients’ records of Children’s Hospital, Capital Institute of Pediatrics, 19 visit time-related variables are designed to construct 6 different machine learning models to predict the waiting time of patients in pediatric emergency department. The test results show that the prediction models perform well. This study helps hospital managers to dynamically allocate medical resources, relieve crowdedness in emergency departments, and improve patient satisfaction.