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Knowledge Acquisition Using Syntactic Time Patterns

  • Conference paper
AIME 89

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

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Abstract

For knowledge acquisition based on time oriented data we describe a tool to be used for clinical research in the intensive care setting of liver transplantation. The tool incorporates a time model derived from Allen’s concepts [1]. Interactive definition and refinement of concepts can immediately tested on the data. The resulting output covers not only time intervals of the knowledge based classification process but also rule and frame based definitions of concepts. The first evaluation results are very encouraging. This knowledge acquisition tool is seen as one additional tool complementing classical ones as statistical packages, for example.

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Author information

Authors and Affiliations

  1. Clinic for Abdominal and Transplantation Surgery, Medical School Hannover, D-3000, Hannover, Germany

    G. Tusch & G. Gubernatis

  2. Institute for Medical Informatics, University of Hildesheim, D-3300, Hildesheim, Germany

    J. Bernauer & M. Rading

Authors
  1. G. Tusch
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  2. J. Bernauer
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  3. G. Gubernatis
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  4. M. Rading
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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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Tusch, G., Bernauer, J., Gubernatis, G., Rading, M. (1989). Knowledge Acquisition Using Syntactic Time Patterns. 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_35

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  • DOI: https://doi.org/10.1007/978-3-642-93437-7_35

  • 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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