• DocumentCode
    1796213
  • Title

    Swarm intelligence and multi agent system in healthcare

  • Author

    Jemal, Hanen ; Kechaou, Zied ; Ben Ayed, Mounir

  • Author_Institution
    REGIM: Res. Group on Intell. Machines, Univ. of Sfax, Sfax, Tunisia
  • fYear
    2014
  • fDate
    11-14 Aug. 2014
  • Firstpage
    423
  • Lastpage
    427
  • Abstract
    The domain of Healthcare is characterized by difficulty, dynamism and variety. In the 21st century healthcare represents different challenges (the increasing cost of care and the growing of populations). For that, Agent Technology can provide better healthcare than the traditional medical system. In the hospital, several types of medical problems can be solved by agents. As examples of problems, which emerge in the hospital, we mention: collaboration between hospital wards, elaborations of diagnostics, the collection of information about patients etc. The adaptation of cooperative Multi Agent System (MAS) can solve these problems. In this regard, this study proposes a general architecture that integrates Swarm Intelligence into Multi Agent healthcare System in order to make care as efficient as possible.
  • Keywords
    health care; hospitals; multi-agent systems; MAS; hospital; medical problems; multi agent healthcare system; swarm intelligence; Artificial intelligence; Computer architecture; Hospitals; Medical diagnostic imaging; Particle swarm optimization; Silicon; Healthcare Agent Technology; Multi Agent System; Swarm Intelligence;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Soft Computing and Pattern Recognition (SoCPaR), 2014 6th International Conference of
  • Conference_Location
    Tunis
  • Type

    conf

  • DOI
    10.1109/SOCPAR.2014.7008044
  • Filename
    7008044