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