The Potential Use of Multi-Agent and Hybrid Data Mining Approaches in Social Informatics for Improving E-Health

Dharmendra SHARMA, Fariba Shadabi

Research output: A Conference proceeding or a Chapter in BookConference contribution

2 Citations (Scopus)

Abstract

Social and health informatics has the potential of improving the general wellbeing and health of individuals. Although the structure and nature of health facilities and services in some countries may pose a challenge for a short while, such obstacles according to many studies will be streamlined in the near future. The widespread utilization and implementation of healthcare information system in the day-to-day health care operations will lead to cost effective clinical trials and self-healthcare management. On the other hand, recent rapid development of computer technology in this area has introduced a data explosion challenge. This paper provides brief background information on Social Informatics and e-Health Systems. Follow by an overview of two hybrid intelligent techniques that might be utilized as a new generation of predictive analytics for big data particularly for knowledge discovery in big data and decision making processes in social systems
Original languageEnglish
Title of host publication2014 IEEE Fourth International Conference on Big Data and Cloud Computing
EditorsJinjun Chen, Laurence T. Yang
Place of PublicationSydney, NSW
PublisherIEEE, Institute of Electrical and Electronics Engineers
Pages350-354
Number of pages5
ISBN (Electronic)9781479967193
ISBN (Print)9781479967209
DOIs
Publication statusPublished - 3 Dec 2014
EventInternational Conference on Big Data and Cloud Computing - Sydney, Sydney, Australia
Duration: 3 Dec 20145 Dec 2014

Publication series

NameProceedings - 4th IEEE International Conference on Big Data and Cloud Computing, BDCloud 2014 with the 7th IEEE International Conference on Social Computing and Networking, SocialCom 2014 and the 4th International Conference on Sustainable Computing and Communications, SustainCom 2014

Conference

ConferenceInternational Conference on Big Data and Cloud Computing
Abbreviated titleICBDCC
CountryAustralia
CitySydney
Period3/12/145/12/14

Fingerprint

Data mining
Health
Health care
Explosions
Information systems
Decision making
Costs
Big data

Cite this

SHARMA, D., & Shadabi, F. (2014). The Potential Use of Multi-Agent and Hybrid Data Mining Approaches in Social Informatics for Improving E-Health. In J. Chen, & L. T. Yang (Eds.), 2014 IEEE Fourth International Conference on Big Data and Cloud Computing (pp. 350-354). (Proceedings - 4th IEEE International Conference on Big Data and Cloud Computing, BDCloud 2014 with the 7th IEEE International Conference on Social Computing and Networking, SocialCom 2014 and the 4th International Conference on Sustainable Computing and Communications, SustainCom 2014). Sydney, NSW: IEEE, Institute of Electrical and Electronics Engineers. https://doi.org/10.1109/bdcloud.2014.25
SHARMA, Dharmendra ; Shadabi, Fariba. / The Potential Use of Multi-Agent and Hybrid Data Mining Approaches in Social Informatics for Improving E-Health. 2014 IEEE Fourth International Conference on Big Data and Cloud Computing. editor / Jinjun Chen ; Laurence T. Yang . Sydney, NSW : IEEE, Institute of Electrical and Electronics Engineers, 2014. pp. 350-354 (Proceedings - 4th IEEE International Conference on Big Data and Cloud Computing, BDCloud 2014 with the 7th IEEE International Conference on Social Computing and Networking, SocialCom 2014 and the 4th International Conference on Sustainable Computing and Communications, SustainCom 2014).
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abstract = "Social and health informatics has the potential of improving the general wellbeing and health of individuals. Although the structure and nature of health facilities and services in some countries may pose a challenge for a short while, such obstacles according to many studies will be streamlined in the near future. The widespread utilization and implementation of healthcare information system in the day-to-day health care operations will lead to cost effective clinical trials and self-healthcare management. On the other hand, recent rapid development of computer technology in this area has introduced a data explosion challenge. This paper provides brief background information on Social Informatics and e-Health Systems. Follow by an overview of two hybrid intelligent techniques that might be utilized as a new generation of predictive analytics for big data particularly for knowledge discovery in big data and decision making processes in social systems",
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SHARMA, D & Shadabi, F 2014, The Potential Use of Multi-Agent and Hybrid Data Mining Approaches in Social Informatics for Improving E-Health. in J Chen & LT Yang (eds), 2014 IEEE Fourth International Conference on Big Data and Cloud Computing. Proceedings - 4th IEEE International Conference on Big Data and Cloud Computing, BDCloud 2014 with the 7th IEEE International Conference on Social Computing and Networking, SocialCom 2014 and the 4th International Conference on Sustainable Computing and Communications, SustainCom 2014, IEEE, Institute of Electrical and Electronics Engineers, Sydney, NSW, pp. 350-354, International Conference on Big Data and Cloud Computing, Sydney, Australia, 3/12/14. https://doi.org/10.1109/bdcloud.2014.25

The Potential Use of Multi-Agent and Hybrid Data Mining Approaches in Social Informatics for Improving E-Health. / SHARMA, Dharmendra; Shadabi, Fariba.

2014 IEEE Fourth International Conference on Big Data and Cloud Computing. ed. / Jinjun Chen; Laurence T. Yang . Sydney, NSW : IEEE, Institute of Electrical and Electronics Engineers, 2014. p. 350-354 (Proceedings - 4th IEEE International Conference on Big Data and Cloud Computing, BDCloud 2014 with the 7th IEEE International Conference on Social Computing and Networking, SocialCom 2014 and the 4th International Conference on Sustainable Computing and Communications, SustainCom 2014).

Research output: A Conference proceeding or a Chapter in BookConference contribution

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SHARMA D, Shadabi F. The Potential Use of Multi-Agent and Hybrid Data Mining Approaches in Social Informatics for Improving E-Health. In Chen J, Yang LT, editors, 2014 IEEE Fourth International Conference on Big Data and Cloud Computing. Sydney, NSW: IEEE, Institute of Electrical and Electronics Engineers. 2014. p. 350-354. (Proceedings - 4th IEEE International Conference on Big Data and Cloud Computing, BDCloud 2014 with the 7th IEEE International Conference on Social Computing and Networking, SocialCom 2014 and the 4th International Conference on Sustainable Computing and Communications, SustainCom 2014). https://doi.org/10.1109/bdcloud.2014.25