Automated healthcare data mining based on a personal dynamic healthcare system.
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.
Takeuchi
Hirochi
H
Dept. of Healthcare Informatics, Takasaki Univ. of Health & Welfare, Takasaki-shi, Gunma. htakeuchi@takasaki-u.ac.jp
Kodama
Naoki
N
Hashiguchi
Takeshi
T
Hayashi
Doubun
D
D000465:Algorithms; D001331:Automation; D003695:Delivery of Health Care; D004734:Energy Metabolism; D005260:Female; D006304:Health Status; D006801:Humans; D008019:Life Style; D011336:Probability