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A Recommending System for Care Plan(Res-CP) in Long-Term Care Insurance System
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 Title & Authors
A Recommending System for Care Plan(Res-CP) in Long-Term Care Insurance System
Han, Eun-Jeong; Lee, Jung-Suk; Kim, Dong-Geon; Ka, Im-Ok;
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 Abstract
In the long-term care insurance(LTCI) system, the question of how to provide the most appropriate care has become a major issue for the elderly, their family, and for policy makers. To help beneficiaries use LTC services appropriately to their needs of care, National Health Insurance Corporation(NHIC) provide them with the individualized care plan, named the Long-term Care User Guide. It includes recommendations for beneficiaries` most appropriate type of care. The purpose of this study is to develop a recommending system for care plan(Res-CP) in LTCI system. We used data set for Long-term Care User Guide in the 3rd long-term care insurance pilot programs. To develop the model, we tested four models, including a decision-tree model in data-mining, a logistic regression model, and a boosting and boosting techniques in an ensemble model. A decision-tree model was selected to describe the Res-CP, because it may be easy to explain the algorithm of Res-CP to the working groups. Res-CP might be useful in an evidence-based care planning in LTCI system and may contribute to support use of LTC services efficiently.
 Keywords
Long-term care insurance;long-term care user guide;data mining;decision-tree analysis;
 Language
Korean
 Cited by
1.
데이터마이닝 기법을 활용한 국민건강보험 상해상병 관리모형 개발,박일수;한준태;손혜숙;강석복;

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2.
의사결정나무기법을 이용한 노인장기요양보험 등급결정모형 개발,한은정;곽민정;강임옥;

응용통계연구, 2011. vol.24. 1, pp.145-159 crossref(new window)
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의사결정나무기법을 활용한 노인장기요양보험 표준급여모형 개발,한은정;이정석;김동건;권진희;

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1.
Test for Theory of Portfolio Diversification, Korean Journal of Applied Statistics, 2011, 24, 1, 1  crossref(new windwow)
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A Decision-support System for Care Plan in Long-term Care Insurance, Korean Journal of Applied Statistics, 2014, 27, 5, 667  crossref(new windwow)
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A Determining System for the Category of Need in Long-Term Care Insurance System using Decision Tree Model, Korean Journal of Applied Statistics, 2011, 24, 1, 145  crossref(new windwow)
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