An Approximate Reasoning Model for Medical Diagnosis

Conference paper

DOI: 10.1007/978-3-319-00738-0_2

Part of the Studies in Computational Intelligence book series (SCI, volume 492)
Cite this paper as:
Fernando I., Henskens F., Cohen M. (2013) An Approximate Reasoning Model for Medical Diagnosis. In: Lee R. (eds) Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing. Studies in Computational Intelligence, vol 492. Springer, Heidelberg

Abstract

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.

Keywords

approximate reasoning medical expert systems inference model psychiatry 

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Copyright information

© Springer International Publishing Switzerland 2013

Authors and Affiliations

  1. 1.School of Electrical Engineering & Computer ScienceUniversity of NewcastleCallaghanAustralia
  2. 2.The Mater Hospital, Hunter New England Area Health ServiceWaratahAustralia

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