Evaluation of the use of induction in the development of a medical expert system
Computers and Biomedical Research
Evolutionary learning of communicating agents
Information Sciences—Informatics and Computer Science: An International Journal
Machine Learning
Expert Systems
Intelligent Agents on the Internet: Fact, Fiction, and Forecast
IEEE Expert: Intelligent Systems and Their Applications
Evolving teamwork and coordination with genetic programming
GECCO '96 Proceedings of the 1st annual conference on Genetic and evolutionary computation
A Multi-agents Approach to Knowledge Discovery
WI-IAT '08 Proceedings of the 2008 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology - Volume 03
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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.