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 |