• DocumentCode
    3005653
  • Title

    Policy-based hybrid workflow management system for heart disease identification

  • Author

    Jung, Woo-Ram ; Youn, Chan-Hyun ; Kim, Hoeyoung ; Kim, Donghyun ; Hazemi, Fawaz ; Shim, Eun Bo

  • Author_Institution
    Korea Adv. Inst. of Sci. & Technol., Daejeon, South Korea
  • fYear
    2009
  • fDate
    8-10 Oct. 2009
  • Firstpage
    904
  • Lastpage
    907
  • Abstract
    As science technology grows, medical application is becoming more complex to solve the physiological problems within expected time. Workflow management systems (WMS) in Grid computing are promising solution to solve the sophisticated problem such as genomic analysis, drug discovery, disease identification, etc. Although existing WMS can provide basic management functionality in Grid environment, consideration of user requirements such as performance, reliability and interaction with user is missing. In this paper, we propose hybrid workflow management system for heart disease identification and discuss how to guarantee different user requirements according to user SLA. The proposed system is applied to Physio-Grid e-health platform to identify human heart disease with ECG analysis and Virtual Heart Simulation (VHS) workflow applications.
  • Keywords
    diseases; electrocardiography; grid computing; medical diagnostic computing; workflow management software; ECG analysis; Grid environment; Physio-Grid e-health platform; heart disease identification; human heart disease; management functionality; policy-based hybrid workflow management system; virtual heart simulation workflow applications; Bioinformatics; Biomedical equipment; Cardiac disease; Cardiovascular diseases; Drugs; Genomics; Grid computing; Medical services; Pharmaceutical technology; Workflow management software; Grid Workflow; Heart Disease Identification; Physio-Grid; Resource Management;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Communications, 2009. APCC 2009. 15th Asia-Pacific Conference on
  • Conference_Location
    Shanghai
  • Print_ISBN
    978-1-4244-4784-8
  • Electronic_ISBN
    978-1-4244-4785-5
  • Type

    conf

  • DOI
    10.1109/APCC.2009.5375522
  • Filename
    5375522