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AIME 89 pp 37–44Cite as

Machine Learning as a Knowledge Acquisition Tool Application in the Domain of the Interpretation of Test Results

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Part of the book series: Lecture Notes in Medical Informatics ((LNMED,volume 38))

Abstract

This paper describes the results of the knowledge acquisition process which resulted in NIVTIS. NIVTIS is our system for the interpretation of non-invasive test data obtained from patients that may suffer from peripheral vascular disease in the legs. We briefly describe the tests that are regularly performed in a vascular laboratory. Then we shortly motivate our choice to use machine learning techniques in the knowledge acquisition process. The strategy for obtaining a reference interpretation of the non-invasive test data that are used during the learning phase is described. Also some preliminary evaluation results are given. We conclude that machine learning techniques were valuable tools for the development of our system.

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References

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Author information

Authors and Affiliations

  1. Dept. of Medical Informatics and Statistics, University of Limburg, P.O. box 616, 6200, MD, Maastricht, The Netherlands

    R. A. J. Schijven & J. L. Talmon

  2. Vascular Laboratory, University Hospital Maastricht, P.O. box 616, 6200, MD, Maastricht, The Netherlands

    E. Ermers & R. Penders

  3. Dept. of Surgery, University Hospital Maastricht, P.O. box 616, 6200, MD, Maastricht, The Netherlands

    P. J. E. H. M. Kitslaar

Authors
  1. R. A. J. Schijven
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  2. J. L. Talmon
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  3. E. Ermers
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  4. R. Penders
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  5. P. J. E. H. M. Kitslaar
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Editor information

Editors and Affiliations

  1. Department of Computing Science, University of Aberdeen, King’s College, Old Aberdeen, AB9 2UB, UK

    Jim Hunter

  2. Hill Centre, The London Hospital Medical College, University of London, Turner Street, E1 2AD, London, UK

    John Cookson

  3. Department of Clinical Physiology, National Heart and Lung Institute, Brompton Hospital, Fulham Road, SW3 6HP, London, UK

    Jeremy Wyatt

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© 1989 Springer-Verlag Berlin Heidelberg

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Cite this paper

Schijven, R.A.J., Talmon, J.L., Ermers, E., Penders, R., Kitslaar, P.J.E.H.M. (1989). Machine Learning as a Knowledge Acquisition Tool Application in the Domain of the Interpretation of Test Results. In: Hunter, J., Cookson, J., Wyatt, J. (eds) AIME 89. Lecture Notes in Medical Informatics, vol 38. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-93437-7_4

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  • DOI: https://doi.org/10.1007/978-3-642-93437-7_4

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-51543-2

  • Online ISBN: 978-3-642-93437-7

  • eBook Packages: Springer Book Archive

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