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A method for diagnosing in large medical expert systems based on causal probabilistic networks

  • Marko Suojanen
  • Kristian G. Olesen
  • Steen Andreassen
Probabilistic Models and Fuzzy Logic
Part of the Lecture Notes in Computer Science book series (LNCS, volume 1211)

Abstract

Diagnosis of multiple diseases in large medical expert systems based on causal probabilistic networks may require resources that are not available on common computers. We propose a method that is able to diagnose multiple diseases by systematic investigation of subsets of diseases. The method is illustrated in the MUNIN expert system for diagnosis of muscle and nerve diseases. In MUNIN the requirements for memory space and calculation time were reduced by about 5 orders of magnitude, which is sufficient to make the method practical. We conclude that the method is viable under reasonable assumptions.

Keywords

Median Nerve Carpal Tunnel Syndrome Sural Nerve Multiple Disease Junction Tree 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 1997

Authors and Affiliations

  • Marko Suojanen
    • 1
  • Kristian G. Olesen
    • 1
  • Steen Andreassen
    • 1
  1. 1.Department of Medical Informatics and Image Analysis, Institute of Electronic SystemsAalborg UniversityAalborgDenmark

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