• Mar 27, 2019 News!Good News! All papers from Volume 9, Number 1 have been indexed by Scopus!   [Click]
  • May 07, 2019 News!Vol.9, No.3 has been published with online version.   [Click]
  • Mar 30, 2019 News!Vol.9, No.2 has been published with online version.   [Click]
General Information
    • ISSN: 2010-3700 (Online)
    • Abbreviated Title: Int. J. Mach. Learn. Comput.
    • Frequency: Bimonthly
    • DOI: 10.18178/IJMLC
    • Editor-in-Chief: Dr. Lin Huang
    • Executive Editor:  Ms. Cherry L. Chen
    • Abstracing/Indexing: Scopus (since 2017), EI (INSPEC, IET), Google Scholar, Crossref, ProQuest, Electronic Journals Library.
    • E-mail: ijmlc@ejournal.net
Dr. Lin Huang
Metropolitan State University of Denver, USA
It's my honor to take on the position of editor in chief of IJMLC. We encourage authors to submit papers concerning any branch of machine learning and computing.
IJMLC 2015 Vol. 5(1): 51-56 ISSN: 2010-3700
DOI: 10.7763/IJMLC.2015.V5.482

A Multi Agent System for Hospital Organization

Hanen Jemal, Zied Kechaou, Mounir Ben Ayed, and Adel M. Alimi
Abstract—In some countries the domain of medical care is characterized by difficulty, dynamism and diversity. In the 21st century healthcare represents different challenges (increasing cost of care, population growth and lack of caregivers). For that, cooperation in the Agent Technology can provide better healthcare than the traditional medical system. In fact, Intelligent Agents properties (sociability, proactivity, autonomy) and the features of Multi Agent Systems (management of distributed information, communication and cooperation between different entities) are a good option to solve several problems in the hospital organization. As examples of problems, which appear in the hospital, we cite: collaboration between hospital wards, elaborations of medical diagnostics, coordination among medical entities and the collection of information about patients etc. In this regard, we propose a new medical system called MMAS (Medical Multi- Agent System). The proposed system is complex; it integrates Multi-Agent System in healthcare in order to make care as efficient as possible.

Index Terms—Healthcare, agent technology, multi agent system, medical-multi-agent system.

The authors are with National School of Engineers (ENIS), REGIM: REsearch Group on Intelligent Machines, BP 1173, Sfax, 3038, Tunisia (email: {hanen.jemal, zied.kechaou, mounir.benayed, adel.alimi} @ieee.org).


Cite: Hanen Jemal, Zied Kechaou, Mounir Ben Ayed, and Adel M. Alimi, "A Multi Agent System for Hospital Organization," International Journal of Machine Learning and Computing vol. 5, no. 1, pp. 51-56, 2015.

Copyright © 2008-2019. International Journal of Machine Learning and Computing. All rights reserved.
E-mail: ijmlc@ejournal.net