@inproceedings{c5d4a8a4a3a74dfcb67540e7d45b476b,
title = "Collaborative mobile e-health employing data mining and social networking",
abstract = "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.",
keywords = "Bluetooth, Mobile data mining, Mobile e-health, Social network",
author = "Yidan Liu and Xiping Hu and Chunsheng Zhu and Seet, {Boon Chong} and Leung, {Victor C.M.} and Chu, {Terry H.S.} and Chan, {Henry C.B.}",
year = "2013",
language = "English",
isbn = "9789881925268",
series = "Lecture Notes in Engineering and Computer Science",
publisher = "Newswood Limited",
pages = "602--607",
booktitle = "Proceedings of the International MultiConference of Engineers and Computer Scientists 2013, IMECS 2013",
note = "International MultiConference of Engineers and Computer Scientists 2013, IMECS 2013 ; Conference date: 13-03-2013 Through 15-03-2013",
}