In this paper, we present a novel design and implementation of a mobile e-health system that employs mobile data mining to reduce the cost of processing sensing data, and social networking to facilitate collaborations between patients and care-givers. Our design integrates a Bluetooth v4.0 wireless radio, mobile data mining, and social networks techniques to provide a power-efficient solution for mobile e-health that optimizes the processing of multiple and diverse sensing data in mobile devices, and supports group-level activities for collaborative mobile e-health. Experimental results show the effectiveness of our proposed system.
|Conference||International MultiConference of Engineers and Computer Scientists 2013, IMECS 2013|
|Period||13/03/13 → 15/03/13|
- Mobile data mining
- Mobile e-health
- Social network
- Computer Science (miscellaneous)