An accurate forecast of Emergency Department (ED) arrivals by an hour the day is critical to meet patients’ demand. It enables planners match ED staff number arrivals, redeploy staff, and reconfigure units. In this study, we develop a model based on Generalised Additive Models advanced dynamic exponential smoothing generate hourly probabilistic for prediction window 48 hours. We compare accurac...
