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Inductive Learning as a Method for Medical Decision Making

  • Gjuro Deželić
  • Josipa Kern
Conference paper
Part of the Lecture Notes in Medical Informatics book series (LNMED, volume 45)

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.

Keywords

Decision Tree Rheumatoid Arthritis Patient Prognostic Accuracy Inductive Learning American Rheumatism Association 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 1991

Authors and Affiliations

  • Gjuro Deželić
    • 1
  • Josipa Kern
    • 1
  1. 1.Andrija Štampar School of Public Health, Medical SchoolUniversity of ZagrebZagrebYugoslavia

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