• DocumentCode
    568065
  • Title

    Framework of telemedicine diagnosis decision-making with Bayesian network based on Multi-Agent system

  • Author

    Wang, Ying ; Cao, Jianguo ; Liu, Lin ; Feng, Kai ; Hong, Shuyi ; Xi, Bin

  • Author_Institution
    Dept. of Autom., Xiamen Univ. Xiamen, Xiamen, China
  • fYear
    2012
  • fDate
    14-17 July 2012
  • Firstpage
    68
  • Lastpage
    70
  • Abstract
    Telemedicine has launched among many countries around the world. This paper presents a framework of telemedicine diagnosis decision. Here our frame is based on Multi-Agent system and Bayesian network. The system is composed of several groups of agents providing a flexible, applicable analysis and diagnosis environment. Diagnosis decision-making is built on a network model basing on probability analysis of several physiological indices of disease.
  • Keywords
    Bayes methods; medical computing; multi-agent systems; patient diagnosis; telemedicine; Bayesian network; multi-agent system; network model; physiological indices; probability analysis; telemedicine diagnosis decision-making; Bayesian methods; Biomedical monitoring; Decision making; Diseases; Medical diagnostic imaging; Telemedicine; Bayesian Network; Decision-Making; Multi-Agent system; Telemedicine;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Science & Education (ICCSE), 2012 7th International Conference on
  • Conference_Location
    Melbourne, VIC
  • Print_ISBN
    978-1-4673-0241-8
  • Type

    conf

  • DOI
    10.1109/ICCSE.2012.6295028
  • Filename
    6295028
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=568065