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http://dx.doi.org/10.5351/CKSS.2011.18.1.137

A Study on the Judgement Rating for Level of Need for Long-term Care Insurance Using a Decision Tree  

Han, Sang-Tae (Department of Informational Statistics, Hoseo University)
Kang, Hyun-Cheol (Department of Informational Statistics, Hoseo University)
Choi, Bo-Seung (Department of Computer Science and Statistics, Daegu University)
Lee, Seong-Keon (Department of Statistics, Sungshin Women's University)
Publication Information
Communications for Statistical Applications and Methods / v.18, no.1, 2011 , pp. 137-146 More about this Journal
Abstract
Long-term care insurance is a social insurance system that provides benefits to the elderly who have difficulty taking care of themselves for a period of at least 6 months. This system was started in July, 2008 and it is very important to set proper judgement ratings for the approval process. We try to develop and improve the judgement rating system using decision tree models. Our tree model is found to be more stable and efficient than the previous one.
Keywords
Decision tree; long-term care insurance; judgement rating;
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  • Reference
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