By Topic

Automated Healthcare Data Mining Based on a Personal Dynamic Healthcare System

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$33 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

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: htakeuchi@takasaki-u.ac.jp ; 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