An Intelligent Multi Agent Design in Healthcare Management System

Dharmendra Sharma, Fariba Shadabi

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

10 Citations (Scopus)

Abstract

Over the past few years, multi-agent approach has been successfully used in the development of large complex systems. Therefore, multi-agent approach can be considered as an effective approach for the development of complex e-health systems. The purpose of this study is to explore the use of intelligent multi-agent approach for developing e-health systems for the prediction of kidney transplant outcomes and the management of chronic diseases such as diabetes. The proposed kidney transplant outcome prediction is based on the use of a novel classification approach which is a combination of initial data preparations, preliminary classification by ensembles of neural networks, generation of new training data based on criteria of highly accuracy and model agreement, and decision trees
Original languageEnglish
Title of host publicationSymposium on Agents and Multi-Agents Systems
EditorsJ.G Carbonell, J Siekmann
Place of PublicationGermany
PublisherSpringer
Pages674-682
Number of pages9
Volume4953
ISBN (Print)9783540785811
Publication statusPublished - 2008
EventKES AMSTA 2008 - , Korea, Democratic People's Republic of
Duration: 26 Mar 200828 Mar 2008

Conference

ConferenceKES AMSTA 2008
CountryKorea, Democratic People's Republic of
Period26/03/0828/03/08

Fingerprint

Transplants
Health
Medical problems
Decision trees
Large scale systems
Neural networks

Cite this

Sharma, D., & Shadabi, F. (2008). An Intelligent Multi Agent Design in Healthcare Management System. In J. G. Carbonell, & J. Siekmann (Eds.), Symposium on Agents and Multi-Agents Systems (Vol. 4953, pp. 674-682). Germany: Springer.
Sharma, Dharmendra ; Shadabi, Fariba. / An Intelligent Multi Agent Design in Healthcare Management System. Symposium on Agents and Multi-Agents Systems. editor / J.G Carbonell ; J Siekmann. Vol. 4953 Germany : Springer, 2008. pp. 674-682
@inproceedings{80ba1fd82f074d44bc44f6be47a2e574,
title = "An Intelligent Multi Agent Design in Healthcare Management System",
abstract = "Over the past few years, multi-agent approach has been successfully used in the development of large complex systems. Therefore, multi-agent approach can be considered as an effective approach for the development of complex e-health systems. The purpose of this study is to explore the use of intelligent multi-agent approach for developing e-health systems for the prediction of kidney transplant outcomes and the management of chronic diseases such as diabetes. The proposed kidney transplant outcome prediction is based on the use of a novel classification approach which is a combination of initial data preparations, preliminary classification by ensembles of neural networks, generation of new training data based on criteria of highly accuracy and model agreement, and decision trees",
author = "Dharmendra Sharma and Fariba Shadabi",
year = "2008",
language = "English",
isbn = "9783540785811",
volume = "4953",
pages = "674--682",
editor = "J.G Carbonell and J Siekmann",
booktitle = "Symposium on Agents and Multi-Agents Systems",
publisher = "Springer",
address = "Netherlands",

}

Sharma, D & Shadabi, F 2008, An Intelligent Multi Agent Design in Healthcare Management System. in JG Carbonell & J Siekmann (eds), Symposium on Agents and Multi-Agents Systems. vol. 4953, Springer, Germany, pp. 674-682, KES AMSTA 2008, Korea, Democratic People's Republic of, 26/03/08.

An Intelligent Multi Agent Design in Healthcare Management System. / Sharma, Dharmendra; Shadabi, Fariba.

Symposium on Agents and Multi-Agents Systems. ed. / J.G Carbonell; J Siekmann. Vol. 4953 Germany : Springer, 2008. p. 674-682.

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

TY - GEN

T1 - An Intelligent Multi Agent Design in Healthcare Management System

AU - Sharma, Dharmendra

AU - Shadabi, Fariba

PY - 2008

Y1 - 2008

N2 - Over the past few years, multi-agent approach has been successfully used in the development of large complex systems. Therefore, multi-agent approach can be considered as an effective approach for the development of complex e-health systems. The purpose of this study is to explore the use of intelligent multi-agent approach for developing e-health systems for the prediction of kidney transplant outcomes and the management of chronic diseases such as diabetes. The proposed kidney transplant outcome prediction is based on the use of a novel classification approach which is a combination of initial data preparations, preliminary classification by ensembles of neural networks, generation of new training data based on criteria of highly accuracy and model agreement, and decision trees

AB - Over the past few years, multi-agent approach has been successfully used in the development of large complex systems. Therefore, multi-agent approach can be considered as an effective approach for the development of complex e-health systems. The purpose of this study is to explore the use of intelligent multi-agent approach for developing e-health systems for the prediction of kidney transplant outcomes and the management of chronic diseases such as diabetes. The proposed kidney transplant outcome prediction is based on the use of a novel classification approach which is a combination of initial data preparations, preliminary classification by ensembles of neural networks, generation of new training data based on criteria of highly accuracy and model agreement, and decision trees

M3 - Conference contribution

SN - 9783540785811

VL - 4953

SP - 674

EP - 682

BT - Symposium on Agents and Multi-Agents Systems

A2 - Carbonell, J.G

A2 - Siekmann, J

PB - Springer

CY - Germany

ER -

Sharma D, Shadabi F. An Intelligent Multi Agent Design in Healthcare Management System. In Carbonell JG, Siekmann J, editors, Symposium on Agents and Multi-Agents Systems. Vol. 4953. Germany: Springer. 2008. p. 674-682