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Inductive Learning as a Method for Medical Decision Making

  • Conference paper
Medical Informatics Europe 1991

Part of the book series: Lecture Notes in Medical Informatics ((LNMED,volume 45))

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Summary

A system for inductive learning is used in automatic construction of decision trees. The results and experience in its use in the field of rheumatology are presented. The decision trees have been obtained under different conditions, i. e. without and with pruning. Variability of results has been noted and discussed. It is concluded that such decision trees could be a useful guide in clinical decisions.

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Author information

Authors and Affiliations

  1. Andrija Štampar School of Public Health, Medical School, University of Zagreb, Zagreb, Yugoslavia

    Gjuro Deželić & Josipa Kern

Authors
  1. Gjuro Deželić
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  2. Josipa Kern
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Editor information

Editors and Affiliations

  1. Department of Medical Computer Sciences, University of Vienna, Währinger Gürtel 18-20, 1090, Wien, Austria

    Klaus-Peter Adlassnig  & Georg Grabner  & 

  2. Department of Clinical Microbiology, Akademiska Hospital, P. O. Box 552, 751 85, Uppsala, Sweden

    Stellan Bengtsson

  3. National Institute of Public Health, Geitmyrsveien 75, 0462, Oslo, Norway

    Rolf Hansen

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© 1991 Springer-Verlag Berlin Heidelberg

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Deželić, G., Kern, J. (1991). Inductive Learning as a Method for Medical Decision Making. In: Adlassnig, KP., Grabner, G., Bengtsson, S., Hansen, R. (eds) Medical Informatics Europe 1991. Lecture Notes in Medical Informatics, vol 45. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-93503-9_58

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  • DOI: https://doi.org/10.1007/978-3-642-93503-9_58

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-54392-3

  • Online ISBN: 978-3-642-93503-9

  • eBook Packages: Springer Book Archive

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