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.
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Sharma, D., Shadabi, F. (2008). An Intelligent Multi Agent Design in Healthcare Management System. In: Nguyen, N.T., Jo, G.S., Howlett, R.J., Jain, L.C. (eds) Agent and Multi-Agent Systems: Technologies and Applications. KES-AMSTA 2008. Lecture Notes in Computer Science(), vol 4953. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-78582-8_68
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DOI: https://doi.org/10.1007/978-3-540-78582-8_68
Publisher Name: Springer, Berlin, Heidelberg
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