A Multi-Agent Intelligent System for Monitoring Health Conditions of Elderly People

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.


Authors:



References:
[1] L. A. Zadeh, "Fuzzy sets," Information and Control, vol. 8, pp. 338-353,
1965.
[2] R. Orchard, "Fuzzy Reasoning in Jess: The FuzzyJ Toolkit and
FuzzyJess," Third International Conference on Enterprise Information
Systems, Setubal, Portugal, pp. 533-542, 2001.
[3] Jacques Ferber, Multi-Agent Systems: Intro. to Distributed System.
Addison-Wesley, 1999.
[4] Hong Lin, Architectural Design of Multi-Agent Systems: Technologies
and Techniques. Information Science Reference press (an imprint of IGI
Global), 2007.
[5] FIPA The foundation for intelligent physical agents. See
http://www.fipa.org.
[6] Fabio Luigi Bellifemine, Giovanni Caire, and Dominic Greenwood,
Developing Multi-Agent Systems with JADE. Wiley, 2007.
[7] 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.
[8] Bellifemine, F., G. Caire, T. Trucco, and G. Rimassa., Jade
Programmer’s Guide. JADE 3.7, 2003. See http://jade.cselt.it.
[9] 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.