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Automated Healthcare Data Mining Based on a Personal Dynamic Healthcare System

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4 Author(s)
Hiroshi Takeuchi ; Senior Member, IEEE, Department of Healthcare Informatics, Takasaki University of Health and Welfare, 37-1, Nakaorui-machi, Takasaki-shi, Gunma, 370-0033, Japan. phone: +81-27-352-1290; fax: +81-27-353-2055; e-mail: ; Naoki Kodama ; Takeshi Hashiguchi ; Doubun Hayashi

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

Published in:

Engineering in Medicine and Biology Society, 2006. EMBS '06. 28th Annual International Conference of the IEEE

Date of Conference:

Aug. 30 2006-Sept. 3 2006