Predicting daily patient arrivals in the emergency department based on a deep neural network approach: A Case Study
The goal of this study is to analyze the performance of four forecasting models in predicting daily patient arrivals in the emergency department (ED). Due to the fact that emergency patient flow is highly uncertain and dynamic, this forecasting problem is a challenging task. We evaluated different time series models to forecast ED daily patient arrivals at General Hospital of Cu Chi Area in Ho Chi Minh city, Vietnam.