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Qualitative Simulation of Shock States in a Virtual Patient

  • Altion Simo
  • Marc Cavazza
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 2780)

Abstract

In this paper, we describe the use of qualitative simulation to simulate shock states in a virtual patient. The system integrates AI techniques with a realistic visual simulation of the patient in a 3D environment representing an ER room. We have adapted qualitative process theory to the representation of physiological processes in order to be able to generate appropriate pathophysiological models. We describe how a subset of cardiac physiology can be modelled using qualitative process theory and discuss knowledge representation issues. We then present results obtained by the system and the benefits that can be derived from the use of a virtual patient in terms of training. Finally, we explore the problem of integrating multiple pathophysiological models for various aetiologies of shock states.

Keywords

Cardiogenic Shock Shock State Influence Equation Virtual Patient Causal Network 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2003

Authors and Affiliations

  • Altion Simo
    • 1
  • Marc Cavazza
    • 2
  1. 1.Virtual Systems LaboratoryUniversity of GifuGifuJapan
  2. 2.School of Computing and MathematicsUniversity of TeessideMiddlesbroughUnited Kingdom

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