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Neural Network Recognition of Otoneurological Vertigo Diseases with Comparison of Some Other Classification Methods

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Book cover Artificial Intelligence in Medicine (AIMDM 1999)

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

Abstract

We have studied computer-aided diagnosis of otoneurological diseases which are difficult, even for experienced specialists, to determine and separate from each other. Since neural networks require plenty of training data, we restricted our research to the commonest otoneurological diseases in our database and to the very most essential parameters used in their diagnostics. According to our results, neural networks can be efficient in the recognition of these diseases provided that we shall be able to add our available cases concerning those diseases which are rare in our database. We compared the results yielded by neural networks to those given by discriminant analysis, genetic algorithms and decision trees.

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Author information

Authors and Affiliations

  1. Department of Computer Science, University of Tampere, P.O. Box 607, Tampere, Finland

    Martti Juhola, Jorma Laurikkala, Kati Viikki & Yrjö Auramo1

  2. Department of Otorhinolaryngology, Helsinki University Central Hospital, Finland

    Erna Kentala

  3. Department of Otorhinolaryngology, Karolinska Hospital, Stockholm, Sweden

    Ilmari Pyykkö

Authors
  1. Martti Juhola
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  2. Jorma Laurikkala
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  3. Kati Viikki
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  4. Yrjö Auramo1
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  5. Erna Kentala
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  6. Ilmari Pyykkö
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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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Juhola, M., Laurikkala, J., Viikki, K., Auramo1, Y., Kentala, E., Pyykkö, I. (1999). Neural Network Recognition of Otoneurological Vertigo Diseases with Comparison of Some Other Classification Methods. 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_23

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  • DOI: https://doi.org/10.1007/3-540-48720-4_23

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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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