Forecasting patient admission in orthopedic clinic at a hospital in Kuantan using autoregressive integrated moving average (ARIMA) models
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...
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Format: | Conference or Workshop Item |
Language: | English English |
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IOP Publishing Ltd
2020
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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 |
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http://irep.iium.edu.my/81910/13/81910_Forecasting%20patient%20admission%20in%20orthopedic%20clinic%20at%20a%20hospital.pdfhttp://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