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The Case-Based Neural Network Model and Its Use in Medical Expert Systems

  • Wayne Goodridge
  • Hadrian Peter
  • Akin Abayomi
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 1620)

Abstract

A theoretical model called the Case-Based Neural Network Model is introduced that captures selected patient cases into a data structure which incorporates the fundamental components of expert systems. This data structure is made up of a discrete pattern associative neural network of frames. The Case-Based Neural Network Model is implemented as a computer system called MED2000. This system generates appropriate questions and suggestions based on a notion of diagnosis developed by its neural network and knowledge base. When tested by medical experts, the system was found to be accurate and reproducible.

Keywords

Expert System Aplastic Anemia Medical Expert Unknown Node Queen Elizabeth Hospital 
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 1999

Authors and Affiliations

  • Wayne Goodridge
    • 1
  • Hadrian Peter
    • 1
  • Akin Abayomi
    • 2
  1. 1.Faculty of Science and TechnologyUniversity of the West Indies
  2. 2.School of Clinical Medicine and Research, University of the West IndiesQueen Elizabeth Hospital

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