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

  • Conference paper
  • First Online:
Artificial Intelligence in Medicine (AIMDM 1999)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 1620))

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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.

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Author information

Authors and Affiliations

  1. Faculty of Science and Technology, University of the West Indies, Cave Hill Campus

    Wayne Goodridge & Hadrian Peter

  2. School of Clinical Medicine and Research, University of the West Indies, Queen Elizabeth Hospital, Bridgetown Barbados

    Akin Abayomi

Authors
  1. Wayne Goodridge
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  2. Hadrian Peter
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  3. Akin Abayomi
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Editor information

Editors and Affiliations

  1. Austrian Research Institute for Artificial Intelligence, Schottengasse 3, A-1010, Vienna, Austria

    Werner Horn

  2. Department of Medicine and Computer Science, Stanford University, 251 Campus Drive, Stanford, CA, 94305-5479, USA

    Yuval Shahar

  3. Department of Medicine Karolinska Institutet, Huddinge University Hospital, Sweden

    Greger Lindberg

  4. Department of Medical Informatics and Image Analysis, Aalborg University, Fredrik Bajers Vej 7D, DK-9000, Aalborg, Denmark

    Steen Andreassen

  5. School of Public Policy, University College London, 29/30 Tavistock Square, London, WC1H 9EZ, UK

    Jeremy Wyatt

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© 1999 Springer-Verlag Berlin Heidelberg

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Goodridge, W., Peter, H., Abayomi, A. (1999). The Case-Based Neural Network Model and Its Use in Medical Expert Systems. In: Horn, W., Shahar, Y., Lindberg, G., Andreassen, S., Wyatt, J. (eds) Artificial Intelligence in Medicine. AIMDM 1999. Lecture Notes in Computer Science(), vol 1620. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-48720-4_25

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  • DOI: https://doi.org/10.1007/3-540-48720-4_25

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-66162-7

  • Online ISBN: 978-3-540-48720-3

  • eBook Packages: Springer Book Archive

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