| Summary: | 碩士 === 國立臺灣大學 === 資訊管理學研究所 === 105 === In Taiwan, it is top priority to develop a systematic policy for the elderly in the coming era
of ageing society. Telecare is one possible solution that combine the help of information
technology and health policy. However, the telecare service is expensive and is only adoptable
for chronic citizens nowadays.
This study proposes a Heuristic Decision Tree based Telecare Classification Approach
(HDTTCA), a systematic structure to figure out those who are applicable for telecare service.
We assume that National Health Insurance scheme subsidy the cost. Therefore, it is necessary
to classify all the people in the country, we apply classification algorithm to reduce the research
time. The main process of HDTTCA has three steps: (1) datasets preprocessing; (2) decision
tree model building; and (3) prediction and explanation. In this study, we find out three of most
important dimensions in telecare industry: clinical records, convenience, and social-economic
status.
We apply HDTTCA in a real world dataset and find that decision tree is a potential
classification algorithm in solving this problem because of its interpretability. The see-through
rules also give government a clear guideline to improve the decision-making process.
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