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.
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References
Baan, J., Arntzenius, A.C., Yellin, E.L. (eds.): Cardiac Dynamics. Martinus Nijhoff, The Hague (1980)
Badler, N., Webber, B., Clarke, J., Chi, D., Hollick, M., Foster, N., Kokkevis, E., Ogunyemi, O., Metaxas, D., Kaye, J., Bindiganavale, R.: MediSim: Simulated medical corpsmen and casualties for medical forces planning and training, National Forum on Military Telemedicine, pp. 21–28. IEEE, Los Alamitos (1996)
Bratko, I., Mozetic, I., Lavrac, N.: KARDIO: a Study in Deep and Qualitative Knowledge for Expert Systems. MIT Press, Cambridge (1989)
Bylander, T., Smith, J.W., Svirbley, J.R.: Qualitative Representation of Behaviour in the Medical Domain. Computers and Biomedical Research 21, 367–380 (1988)
Cavazza, M.: Simulation Qualitative en Physiologie Cardiaque. In: Proceedings of AFCET/RFIA1991, Lyon, France (1991) (in French)
Coiera, E.W.: Monitoring Diseases with Empirical and Model Generated Histories. Artificial Intelligence in Medicine 2, 135–147 (1990)
Escaffre, D.: Qualitative Reasoning on Physiological Systems: The Example of the Blood Pressure Regulation. In: DeLotto, I., Stefanelli, M. (eds.) Artificial Intelligence in Medicine. Elsevier Science Publishers, Amsterdam
Forbus, K.D.: Qualitative Process Theory. Artificial Intelligence 24 (1-3), 85–168 (1984)
Julen, N., Siregar, P., Sinteff, J.-P., Le Beux, P.: A Qualitative Model for Computer- Assisted Instruction in Cardiology. In: Proceedings AMIA 1998, pp. 443-447 (1998)
Kuipers, B.: Commonsense Reasoning about Causality: Deriving Behaviour from Structure. Artificial Intelligence 24(1-3), 168–204 (1984)
Kuipers, B.: Qualitative Simulation in Medical Physiology: A Progress Report. Technical Report, MIT/LCS/TM-280 (1985)
Lewis, M., Jacobson, J.: Communications of the ACMÂ 45(1) (January 2002); special issue on Games Engines in Scientific Research
Long, W.J., Naimi, S., Criscitiello, M.G., Pauker, S.G., Kurzrok, S., Szolovits, P.: Reasoning about therapy from a physiological model. In: Proceedings of MEDINFO 1986, Washington DC (1986)
Sticklen, J., Chandrasekaran, B.: Integrating Classification-based Compiled Level Reasoning with Function-based Deep Level Reasoning. Applied artificial Intelligence 3(2-3), 275–304 (1989)
Widman, L.E.: Expert System Reasoning About Dynamic Systems by Semi-quantitative Simulation. Computer Methods and programs in Biomedicine 29, 95–113
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Simo, A., Cavazza, M. (2003). Qualitative Simulation of Shock States in a Virtual Patient. In: Dojat, M., Keravnou, E.T., Barahona, P. (eds) Artificial Intelligence in Medicine. AIME 2003. Lecture Notes in Computer Science(), vol 2780. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-39907-0_15
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DOI: https://doi.org/10.1007/978-3-540-39907-0_15
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