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.


    Access

    Download


    Export, share and cite



    Title :

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


    Contributors:

    Publication date :

    2014-09-01


    Remarks:

    oai:zenodo.org:1096523



    Type of media :

    Article (Journal)


    Type of material :

    Electronic Resource


    Language :

    English



    Classification :

    DDC:    006 / 629




    An Intelligent System for Assisting Elderly People

    Tablado, A. / Illarramendi, A. / Bagues, M. I. et al. | British Library Conference Proceedings | 2005


    Multi-agent joint modeling method for intelligent vehicle queue people-vehicle-road system

    LUO YUGONG / LI KEQIANG / SHI JIA et al. | European Patent Office | 2021

    Free access

    Implementation of safety alert system for elderly people using multi-sensors

    Singh, Neha R. / Rothe, P. R. / Rathkanthiwar, A. P. | IEEE | 2017


    Intelligent elderly care nursing system

    ZHANG ZHENGGUO | European Patent Office | 2021

    Free access

    CITY AND ELDERLY PEOPLE

    Ronzoni, M. R. | British Library Conference Proceedings | 2000