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http://dx.doi.org/10.5351/KJAS.2011.24.1.145

A Determining System for the Category of Need in Long-Term Care Insurance System using Decision Tree Model  

Han, Eun-Jeong (National Health Insurance Corporation)
Kwak, Min-Jeong (Department of Information Science, Pyongtaek University)
Kan, Im-Oak (Department of Medical Law & Ethics, Yonsei University)
Publication Information
The Korean Journal of Applied Statistics / v.24, no.1, 2011 , pp. 145-159 More about this Journal
Abstract
National long-term care insurance started in July, 2008. We try to make up for weak points and develop a long-term care insurance system. Especially, it is important to upgrade the rating model of the category of need for long-term care continually. We improve the rating model using the data after enforcement of the system to reflect the rapidly changing long-term care marketplace. A decision tree model was adpoted to upgrade the rating model that makes it easy to compare with the current system. This model is based on the first assumption that, a person with worse functional conditions needs more long-term care services than others. Second, the volume of long-term care services are de ned as a service time. This study was conducted to reflect the changing circumstances. Rating models have to be continually improved to reflect changing circumstances, like the infrastructure of the system or the characteristics of the insurance beneficiary.
Keywords
Long term care insurance; decision tree model; category of need for long-term care;
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Times Cited By KSCI : 3  (Citation Analysis)
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