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

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 proceeding › Conference article published in proceeding or book › Academic research › peer-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 language	English
Title of host publication	Proceedings of the International MultiConference of Engineers and Computer Scientists 2013, IMECS 2013
Publisher	Newswood Limited
Pages	602-607
Number of pages	6
Volume	2203
ISBN (Print)	9789881925268
Publication status	Published - 1 Jan 2013
Event	International MultiConference of Engineers and Computer Scientists 2013, IMECS 2013 - Kowloon, Hong Kong Duration: 13 Mar 2013 → 15 Mar 2013

Conference

Conference	International MultiConference of Engineers and Computer Scientists 2013, IMECS 2013
Country/Territory	Hong Kong
City	Kowloon
Period	13/03/13 → 15/03/13

Keywords

Bluetooth
Mobile data mining
Mobile e-health
Social network

ASJC Scopus subject areas

Computer Science (miscellaneous)

Cite this

@inproceedings{fc0609d831814ff4bf5afe092ffe5bb1,

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, {Chun Bun Henry}",

year = "2013",

month = jan,

day = "1",

language = "English",

isbn = "9789881925268",

volume = "2203",

pages = "602--607",

booktitle = "Proceedings of the International MultiConference of Engineers and Computer Scientists 2013, IMECS 2013",

publisher = "Newswood Limited",

note = "International MultiConference of Engineers and Computer Scientists 2013, IMECS 2013 ; Conference date: 13-03-2013 Through 15-03-2013",

}

Liu, Y, Hu, X, Zhu, C, Seet, BC, Leung, VCM, Chu, THS & Chan, CBH 2013, Collaborative mobile e-health employing data mining and social networking. in Proceedings of the International MultiConference of Engineers and Computer Scientists 2013, IMECS 2013. vol. 2203, Newswood Limited, pp. 602-607, International MultiConference of Engineers and Computer Scientists 2013, IMECS 2013, Kowloon, Hong Kong, 13/03/13.

Collaborative mobile e-health employing data mining and social networking. / Liu, Yidan; Hu, Xiping; Zhu, Chunsheng et al.
Proceedings of the International MultiConference of Engineers and Computer Scientists 2013, IMECS 2013. Vol. 2203 Newswood Limited, 2013. p. 602-607.

Research output: Chapter in book / Conference proceeding › Conference article published in proceeding or book › Academic research › peer-review

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AU - Liu, Yidan

AU - Hu, Xiping

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AU - Seet, Boon Chong

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AU - Chu, Terry H.S.

AU - Chan, Chun Bun Henry

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AB - 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.

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KW - Mobile data mining

KW - Mobile e-health

KW - Social network

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M3 - Conference article published in proceeding or book

SN - 9789881925268

VL - 2203

SP - 602

EP - 607

BT - Proceedings of the International MultiConference of Engineers and Computer Scientists 2013, IMECS 2013

PB - Newswood Limited

T2 - International MultiConference of Engineers and Computer Scientists 2013, IMECS 2013

Y2 - 13 March 2013 through 15 March 2013

ER -

Collaborative mobile e-health employing data mining and social networking

Abstract

Conference

Keywords

ASJC Scopus subject areas

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