Collaborative mobile e-health employing data mining and social networking

Yidan Liu, Xiping Hu, Chunsheng Zhu, Boon Chong Seet, Victor C.M. Leung, Terry H.S. Chu, Chun Bun Henry Chan

Research output: Chapter in book / Conference proceedingConference article published in proceeding or bookAcademic researchpeer-review

1 Citation (Scopus)

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.
Original languageEnglish
Title of host publicationProceedings of the International MultiConference of Engineers and Computer Scientists 2013, IMECS 2013
PublisherNewswood Limited
Pages602-607
Number of pages6
Volume2203
ISBN (Print)9789881925268
Publication statusPublished - 1 Jan 2013
EventInternational MultiConference of Engineers and Computer Scientists 2013, IMECS 2013 - Kowloon, Hong Kong
Duration: 13 Mar 201315 Mar 2013

Conference

ConferenceInternational MultiConference of Engineers and Computer Scientists 2013, IMECS 2013
Country/TerritoryHong Kong
CityKowloon
Period13/03/1315/03/13

Keywords

  • Bluetooth
  • Mobile data mining
  • Mobile e-health
  • Social network

ASJC Scopus subject areas

  • Computer Science (miscellaneous)

Cite this