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 language | English |
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Title of host publication | Symposium on Agents and Multi-Agents Systems |
Editors | J.G Carbonell, J Siekmann |
Place of Publication | Germany |
Publisher | Springer |
Pages | 674-682 |
Number of pages | 9 |
Volume | 4953 |
ISBN (Print) | 9783540785811 |
Publication status | Published - 2008 |
Event | KES AMSTA 2008 - , Korea, Democratic People's Republic of Duration: 26 Mar 2008 → 28 Mar 2008 |
Conference
Conference | KES AMSTA 2008 |
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Country/Territory | Korea, Democratic People's Republic of |
Period | 26/03/08 → 28/03/08 |