Applying Support Vector Regression Method to Establish Prediction Model for Stress Testing of Dengue Epidemic
碩士 === 國立交通大學 === 工業工程與管理系所 === 104 === Human life has been improved rapidly with the development of science and technology, but we still cannot completely understand the impact of the climate change on human life. With the climate change, the living environment becomes worse and development of the...
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| Format: | Others |
| Language: | zh-TW |
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2016
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| Online Access: | http://ndltd.ncl.edu.tw/handle/5wukrn |
| Summary: | 碩士 === 國立交通大學 === 工業工程與管理系所 === 104 === Human life has been improved rapidly with the development of science and technology, but we still cannot completely understand the impact of the climate change on human life. With the climate change, the living environment becomes worse and development of the infectious diseases spread faster than before. The dengue epidemic still cannot be effectively controlled. The fatality rate of dengue epidemic are increased rapidly in recent years. Moreover, the spread effect of dengue fever becomes significant in high latitude regions. Therefore, the main objective of this study is to utilize Support Vector Regression (SVR) to construct a prediction model for the dengue infections. In the prediction model, the migration factor is also considered to accurately predict the risk of the future outbreaks of dengue epidemic. The result of the stress test of the SVR prediction model is helpful for controlling the spread of dengue epidemic in the future. The result of this study can help government to make decision on controlling the epidemic of dengue.
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