2013 | OriginalPaper | Chapter
An Approximate Reasoning Model for Medical Diagnosis
Authors : Irosh Fernando, Frans Henskens, Martin Cohen
Published in: Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing
Publisher: Springer International Publishing
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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.