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標題: Application of Dementia Screening Classification System Based on Over-Sampling Approach and Decision Tree
作者: 郭丞軒
Cheng-Hsuan Kuo
關鍵字: Dementia;Data mining;Decision tree;Statistica;CHAID;失智症;資料探勘;決策樹;Statistica;CHAID
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The problem of population aging in Taiwan is getting worse, the diseases of elderly patients are considered to be an important issue. Dementia, one of brain diseases for elderly people, is a degeneration of brain diseases. People with dementia have significantly impaired intellectual functioning that interferes with normal activities and relationships. Eventually, patients will complete loss of mental functions. This serious problem is not only affected the normal daily life but also making great burden to society. Therefore, diagnosis and treatment of dementia will be an important issue for medical research.
The aims of this study were to develop a Dementia Screening Classification System to differentiate dementia patients and to study the relevant variables in diagnosis. The type of dementia which elderly patients suffered would be classified through this system. The original data was obtained from medical center based on the Cognitive Abilities Screening Instrument (CASI) test. Data discretization and Synthetic minority over-sampling technique were used to pre-processing this data. Then, Classification and Regression Tree (CART) and Chi-Square Automatic Interaction Detector (CHAID) tree-based algorithms were used to classify this data. As the result of decision tree, age is an important factor which affects to brain diseases for elderly people. Finally, a Dementia Screening Classification System was constructed. Unified Theory of Acceptance and Use of Technology (UTAUT) model and Theory of Planned Behavior (TPB) model were adopted to check the reliability of the system. Results revealed a good model fit and of the seven hypotheses formulated in this study, five were supported.

其他識別: U0005-1707201512183300
Rights: 同意授權瀏覽/列印電子全文服務,2018-07-23起公開。
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