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.