Apply data mining techniquse to adult health examination for prophylaxis of chronic illness

• Main Authors: Jhang,Shih-Wei, 張士瑋
• Other Authors: Shih-Cheng Horng
• Format: Others
• Language: zh-TW
• Published: 2014
• Online Access: http://ndltd.ncl.edu.tw/handle/59653782924818878086

碩士 === 朝陽科技大學 === 資訊工程系 === 102 === Due to increased number of aging population and population structure changes, people are concerned about aging-related problems that put great burdens and make enormous impacts on the family, society, and nation. The problems include increased medical expense, chronic diseases, and degeneration of the elderly. Aging population brings along chronic disease, deterioration of boding function and disabilities resulting in increase medical expenditure and heavy burden to the family, society and the nation as a whole. Regular health examination and early treatment are the most effective solutions to this problem. Important but non-intuitive information and knowledge in the adult health examination database can be found, extracted and organized using data mining. This thesis applied the data mining techniques to enhance understanding of abnormal item combinations in adult health examination data. Researchers collected a total of 1, 000 health examination records of a bank in Taipei for use in this study. Data analysis consisted of the two parts of general statistics and data mining. General statistics was a pre-process used to clarify and organize data in preparation for data mining. A classifier combining clustering and decision tree is proposed to solve the classification problem with large number of classes and continuous attributes. Critical attributes are used to perform the cluster splitting and generate a cluster splitting tree. The decision trees for the terminal clusters in the cluster splitting tree are applied so as to reduce the size of the classification rule set and hence reduce the computational complexity. This research uses the data mining techniques to explore abnormal item combination on community health screening services for the elderly. Besides, related factors of the information and knowledge are also discussed. Suggestions may serve as a useful reference for doctor to improve the correct diagnosis of a chronic illness.