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http://dx.doi.org/10.6109/jkiice.2016.20.8.1460

Design of Health Warning Model on the Basis of CRM by use of Health Big Data  

Lee, Sangwon (Division of Information & Electronic Commerce, Wonkwang University)
Shin, Seong-Yoon (School of Computer Information & Communication Engineering, Kunsan National University)
Abstract
Lots of costs threaten the sustainability of the national health-guarantee system. Despite research by the national center for disease control and prevention on health care dynamics with its auditing systems, there are still restrictions of time limitation, sample limitation, and, target diseases limitation. Against this backdrop, using huge volume of total data, many technologies could be fully adopted to the preliminary forecasting and its target-disease expanding of health. With structured data from the national health insurance and unstructured data from the social network service, we attempted to design a model to predict disease. The model can enhance national health and maximize social benefit by providing a health warning service. Also, the model can reduce the advent increase of national health cost and predict timely disease occurrence based on Big Data analysis. We researched related medical prediction cases and performed an experiment with a pilot project so as to verify the proposed model.
Keywords
Health; Prediction; Big Data; Customer Relationship Management;
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