Evaluation of artificial intelligence models and classical statistics models of time Series in forecasting the number of hospital inpatient admissions

ABSTRACT

Introduction: The study and analysis of each health system has become a necessity for its performance improvement through time. In this context, management and analysis of the number of patients is an important factor in the process of improving managers' decisions. The aims of this study were to explore and evaluate the use of multiple time series forecasting methods to predict monthly hospital inpatient admissions at six public hospitals in Mashhad city and to compare the accuracy performance of these methods: