When dealing with several years of daily data, such as the number of daily admissions to a
hospital's emergency department (ED), how complex does it get to forecast into the future …

Background/aims The stochastic arrival of patients at hospital emergency departments
complicates their management. More than 50% of a hospital's emergency department tends …

Objectives This study aimed to develop different models to forecast the daily number of
patients seeking emergency department (ED) care in a general hospital according to …

Objectives To develop and evaluate time series models to predict the daily number of
patients visiting the Emergency Department (ED) of a Korean hospital. Methods Data were …

An accurate forecast of patient visits in emergency departments (EDs) is one of the key
challenges for health care policy makers to better allocate medical resources and service …

The volume of daily patient arrivals at Emergency Departments (EDs) is unpredictable and is
a significant reason of ED crowding in hospitals worldwide. Timely forecast of patients …

This study aimed at analyzing the performance of four forecasting models in predicting the
demand for medical care in terms of daily visits in an emergency department (ED) that …

Objective Emergency department (ED) overcrowding is acknowledged as an increasingly
important issue worldwide. Hospital managers are increasingly paying attention to ED …

Background Hospital crowding is a rising problem, effective predicting and detecting
managment can helpful to reduce crowding. Our team has successfully proposed a hybrid …

Background Accurate forecasting of emergency department (ED) attendances can be a
valuable tool for micro and macro level planning. Methods Data for analysis was the counts …