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Automated healthcare data mining based on a personal dynamic healthcare system
Hirochi Takeuchi1, Naoki Kodama, Takeshi Hashiguchi
1Dept. of Healthcare Informatics, Takasaki Univ. of Health & Welfare, Takasaki-shi, Gunma. htakeuchi@takasaki-u.ac.jp
Abstract:
The automated healthcare-data-mining system reported here extracts personally useful information, such as rules and patterns concerning lifestyles and health conditions, from daily time-series personal health and lifestyle data stored on a personal dynamic healthcare system by using mobile phone and Web technologies. This system enables users to input their daily data through a mobile phone and to transfer these data to a Web-application server via the Internet. The Web application server provides a data-mining service and uses mobile phones to inform users of important rules concerning their health and lifestyle data. Automated healthcare-data mining of the stored time-series data of volunteer users generated some useful rules correlating their lifestyles with body-fat index.
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