A Multi-Agent Intelligent System for Monitoring Health Conditions of Elderly People
Authors: Ayman M. Mansour
In this paper, we propose a multi-agent intelligent system that is used for monitoring the health conditions of elderly people. Monitoring the health condition of elderly people is a complex problem that involves different medical units and requires continuous monitoring. Such expert system is highly needed in rural areas because of inadequate number of available specialized physicians or nurses. Such monitoring must have autonomous interactions between these medical units in order to be effective. A multi-agent system is formed by a community of agents that exchange information and proactively help one another to achieve the goal of elderly monitoring. The agents in the developed system are equipped with intelligent decision maker that arms them with the rule-based reasoning capability that can assist the physicians in making decisions regarding the medical condition of elderly people.
Digital Object Identifier (DOI): doi.org/10.5281/zenodo.1096523Procedia APA BibTeX Chicago EndNote Harvard JSON MLA RIS XML ISO 690 PDF Downloads 1635
 L. A. Zadeh, "Fuzzy sets," Information and Control, vol. 8, pp. 338-353, 1965.
 R. Orchard, "Fuzzy Reasoning in Jess: The FuzzyJ Toolkit and FuzzyJess," Third International Conference on Enterprise Information Systems, Setubal, Portugal, pp. 533-542, 2001.
 Jacques Ferber, Multi-Agent Systems: Intro. to Distributed System. Addison-Wesley, 1999.
 Hong Lin, Architectural Design of Multi-Agent Systems: Technologies and Techniques. Information Science Reference press (an imprint of IGI Global), 2007.
 FIPA The foundation for intelligent physical agents. See http://www.fipa.org.
 Fabio Luigi Bellifemine, Giovanni Caire, and Dominic Greenwood, Developing Multi-Agent Systems with JADE. Wiley, 2007.
 K. Chmiel, et al, "Testing the Efficiency of JADE Agent Platform," Proceedings of the 3rd International Symposium on Parallel and Distributed Computing, Cork, Ireland, IEEE Computer Society Press, Los Alamitos, CA, pp. 49-57, 2000.
 Bellifemine, F., G. Caire, T. Trucco, and G. Rimassa., Jade Programmer’s Guide. JADE 3.7, 2003. See http://jade.cselt.it.
 Ayman Mansour, Hao Ying, Peter Dews, Yanqing Ji, Margo Farber, John Yen, Richard E. Miller, and R. Michael Massanari, "A Multi-Agent System for Detecting Adverse Drug Reactions," Proceedings of the 29th NAFIPS, Toronto, ON, Canada, July 12-14, 2010.