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Tytuł artykułu

Maryland virtual patient: a knowledge-based, language-enabled simulation and training system

Identyfikatory
Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
Maryland Virtual Patient (MVP) is system aimed at training medical personnel in certain aspects of clinical medicine. The user plays the role of attending physician and is tasked with diagnosing and treating virtual patients (VPs), with or without the help of a virtual tutor. Each VP is composed of both a realistically functioning physiological side and a reasoning - and language-enabled cognitive side. The former permits the VP to undergo the physiological states and changes associated with diseases, their treatments, and even unexpected external stimuli, such as clinically counterindicated interventions. The latter permits the VP to consciously experience and reason about its disease state, make decisions about its lifestyle and medical care, and discuss all of these with its attending physician (the user). This paper provides a brief overview of core aspects of MVP.
Rocznik
Strony
57--63
Opis fizyczny
Bibliogr. 15 poz., rys.
Twórcy
autor
  • Univeristy of Maryland Baltimore Country, USA
autor
  • Univeristy of Maryland Baltimore Country, USA
autor
  • Univeristy of Maryland School of Medicine, USA
autor
  • Univeristy of Maryland Baltimore Country, USA
autor
  • Univeristy of Maryland School of Medicine, USA
Bibliografia
  • 1. Beale, S., Lavoie, B., McShane, M., Nirenburg, S., Korelsky, I: Question answering using Ontological Semantics, Proceedings of the ACL-2004 Workshop on Text Meaning and Interpretation, Barcelona, 2004.
  • 2. Bratman, M.: Faces of Intention, Cambridge University Press, 1999.
  • 3. Buchanan, B., Shortliffe, E.: Rule-Based Expert Systems: The Mycin Experiments of the Stanford Heuristic Programming Project, Addison-Wesley, 1984.
  • 4. Evens, M., Michael, J.: One-on-One Tutoring by Humans and Computers, New Jersey and London, Lawrence Erlbaum and Associates, 2006.
  • 5. Jarrell, B., Nirenburg, S., McShane, M., Fantry, G., Beale, S., Mallott, D., Raczek, J.: An interactive, cognitive simulation of gastroesophageal reflux disease, Stud Health Technol Inform, 194-199, IOS Press, 2007.
  • 6. Jarrell, B., Nirenburg, S., McShane, M., Fantry, G., Beale, S.: Revealing the conceptual substrate of biomedical cognitive models to the wider community, Stud Health Technol Inform, 281-286, IOS Press, 2008.
  • 7. McShane, M., Fantry, G., Beale, S., Nirenburg, S., Jarrell, B.: Disease interaction in cognitive simulations for medical training, Proceedings of the MODSIM World Conference, Medical Track, Virginia Beach, Sept. 11-13, 2007 (2007a).
  • 8. McShane, M., Nirenburg, S., Beale, S., Jarrell, B., Fantry, G.: Knowledge-based modeling and simulation of diseases with highly differentiated clinical manifestations, Proceedings of the 11th Conference on Artificial Intelligence in Medicine (AIME 07), Amsterdam, The Netherlands, July 7-11, 2007 (2007b).
  • 9. McShane, M., Nirenburg, S., Beale, S.: Resolving paraphrases to support modeling language perception in an intelligent agent, Proceedings of the Symposium on Semantics in Systems for Text Processing (STEP 2008), Venice, Italy, 2008 (2008a).
  • 10. McShane, M., Nirenburg, S., Beale, S.: Two kinds of paraphrase in modeling embodied cognitive agents, Proceedings of Biologically Inspired Cognitive Architectures, AAAI 2008 Fall Symposium, Washington, D.C., Nov. 7-9, 2008 (2008b).
  • 11. Nirenburg, S., McShane, M., Beale, S.: A simulated physiological/cognitive "double agent", Proceedings of Naturally Inspired Cognitive Architectures, AAAI 2008 Fall Symposium, Washington, D.C., Nov. 7-9,2008 (2008a).
  • 12. Nirenburg, S., McShane, M., Beale, S., Jarrell, B.: Adaptivity in a multi-agent clinical simulation system, Proceedings of AKRR'08, International and Interdisciplinary Conference on Adaptive Knowledge Representation and Reasoning, Porvoo, Finland, Sept. 17-19, 2008 (2008b).
  • 13. Nirenburg, S., Oates, I: Learning by reading by learning to read, Proceedings of the International Conference on Semantic Computing (ICSC-07), Irvine, CA, 2007.
  • 14. Nirenburg, S., Raskin, V.: Ontological Semantics, Cambridge Mass., MIT Press, 2004.
  • 15. Schank, R., Abelson, R.: Scripts, Plans, Goals and Understanding, Hillsdale, NJ, Erlbaum, 1977.
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-3740c28c-108c-476e-be2a-28d2118da885
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