An Approximate Reasoning Model for Medical Diagnosis
Medical diagnosis is a classical example of approximate reasoning, and also one of the earliest applications of expert systems. The existing approaches to approximate reasoning in medical diagnosis are mainly based on Probability Theory and/or Multivalued Logic. Unfortunately, most of these approaches have not been able to model medical diagnostic reasoning sufficiently, or in a clinically intuitive way. The model described in this paper attempts to overcome the main limitations of the existing approaches.
Keywordsapproximate reasoning medical expert systems inference model psychiatry
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- 5.Cohen, L.J.: Applications of Inductive Logic. Oxford University Press, Clarendon (1980)Google Scholar
- 7.Fernando, I., Henskens, F.A.: A web-based flatform for collaborative development of a knowledgebase for psychiatric case formulation and treatment decision support. In: IADIS e-Health 2012 International Conference, Lisban, Portugal (2012)Google Scholar
- 8.Fernando, I., Henskens, F.A., Cohen, M.: A domain specific conceptual model for a medical expert system in psychiatry, and a development framework. In: IADIS e-Health 2011 International Conference, Rome, Italy (2011)Google Scholar
- 9.Fernando, I., Henskens, F.A., Cohen, M.: A domain specific expert system model for diagnostic consultation in psychiatry. In: 12th ACIS International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing, SNPD 2011 (2011)Google Scholar
- 11.Peirce, C.S.: Illustrations of the logic of science, sixth paper-deduction, induction, hypothesis. The Popular Science Monthly 1, 470–482 (1878)Google Scholar
- 13.Shafer, G.: A Mathematical Theory of Evidence. Princeton University Press (1976)Google Scholar
- 15.Sugeno, M.: Industrial applications of fuzzy control. Elsevier Science (1985)Google Scholar