Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing

Volume 492 of the series Studies in Computational Intelligence pp 11-24

An Approximate Reasoning Model for Medical Diagnosis

  • Irosh FernandoAffiliated withSchool of Electrical Engineering & Computer Science, University of Newcastle Email author 
  • , Frans HenskensAffiliated withSchool of Electrical Engineering & Computer Science, University of Newcastle
  • , Martin CohenAffiliated withThe Mater Hospital, Hunter New England Area Health Service

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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.


approximate reasoning medical expert systems inference model psychiatry