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http://dx.doi.org/10.5351/KJAS.2016.29.1.145

Comparison of forecasting models of disease occurrence due to the weather in elderly patients  

Lee, Seonjae (Department of Statistics, Sookmyung Women's University)
Yeo, In-Kwon (Department of Statistics, Sookmyung Women's University)
Publication Information
The Korean Journal of Applied Statistics / v.29, no.1, 2016 , pp. 145-155 More about this Journal
Abstract
In this paper, we compare forecasting models for disease occurrences in elderly patients due to the weather. For the analysis, the medical data of aged patients released from Health Insurance Review and the weather data of the Korea Meteorological Administration are weekly and regionally merged. The ARMAX model, the VARMAX model and the TSCS regression model are considered to analyze the number of weekly occurrences of some diseases attributable to climate conditions. These models are compared with MSE, MAPE, and MAE criteria.
Keywords
ARMAX model; HIRA data; meteorological data; TSCS regression model; VARMAX model;
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Times Cited By KSCI : 2  (Citation Analysis)
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