Forecasting patient admission in orthopedic clinic at a hospital in Kuantan using autoregressive integrated moving average (ARIMA) models

• Main Authors: Mohamed, Bahari, Mohamad, Meriati
• Format: Conference or Workshop Item
• Language: English; English
• Published: IOP Publishing Ltd 2020
• Subjects: QC Physics
• Online Access: http://irep.iium.edu.my/81910/13/81910_Forecasting%20patient%20admission%20in%20orthopedic%20clinic%20at%20a%20hospital.pdf; http://irep.iium.edu.my/81910/14/81910_Forecasting%20patient%20admission%20in%20orthopedic%20clinic%20at%20a%20hospital%20SCOPUS.pdf; http://irep.iium.edu.my/81910/; https://iopscience.iop.org/article/10.1088/1742-6596/1529/5/052090/pdf

This study is an attempt to examine empirically the best ARIMA model for forecasting. The monthly time series data routinely-collected at Orthopedic clinic from January 2013 until June 2018 have been used for this purpose. At first the stationarity condition of the data series is observed by ACF and...