Prediction Model of Air Quality Index and Medical Expenses of Respiratory System in National Health Insurance

• Main Authors: CHIEN,YU-HUA, 簡由華
• Other Authors: WU,HSU-CHE
• Format: Others
• Language: zh-TW
• Published: 2019
• Online Access: http://ndltd.ncl.edu.tw/handle/5jyvfx

碩士 === 國立中正大學 === 會計與法律數位學習碩士在職專班 === 107 === The purpose of this study is to discuss the effects of air pollution on the medical expenses of respiratory diseases. The system of National Health Insurance in our country is special, it is a global budget system on medical expenses. The data sources of this study are from Statistics Department of the Ministry of Health and Welfare and Taiwan Air Quality Monitoring Network. According to the above data, this study develops four models to predict the medical expenses.The results of the study show that the key factor which affects the medical expenses in the respiratory diseases is chronic lung disease. All four models, SVM, Multinomial Logistic Regression, ANN, and decision tree models, were constructed to predict the medical expenses of respiratory diseases. The accuracy of the best performing model is decision tree.