Integration of Neural Networks and knowledge-based systems in medicine

  • Ultsch A. 
  • Korus D. 
  • Kleine T. O. 
Part of the Lecture Notes in Computer Science book series (LNCS, volume 934)


Knowledge-Based Systems are used in medical diagnoses. They have the advantage to give an explanation of a diagnosis. But a main problem when dealing with Knowledge-Based Systems is the acquisition of knowledge. Artificial Neural Networks deal with knowledge in a subsymbolic form. Incomplete and imprecise data can be processed by approximating not linear relations in data. In a laboratory or medical system the integration of the neural network system into the decision making process may be required. We realised this by building a hybrid system consisting, first, of graphical visualisation methods and second, a machine learning module generating rules out of the neural network. The rules are presented in a form, which can be understood by humans and used in Knowledge-Based Systems.


Knowledge-Based System Neural Network decision making visualisation machine learning 


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Copyright information

© Springer-Verlag Berlin Heidelberg 1995

Authors and Affiliations

  • Ultsch A. 
    • 1
  • Korus D. 
    • 1
  • Kleine T. O. 
    • 2
  1. 1.Department of Mathematics/InformaticsUniversity of MarburgMarburg
  2. 2.Department of Neurochemistry, Center of Nervous DiseasesUniversity of MarburgMarburg

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