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Formalization and Induction of Medical Expert System Rules Based on Rough Set Theory

  • Shusaku Tsumoto
Part of the Studies in Fuzziness and Soft Computing book series (STUDFUZZ, volume 19)

Abstract

One of the most important problems in developing expert systems is knowledge acquisition from experts[BS1]. In order to automate this problem, many inductive learning methods, such as induction of decision trees[BF1, QU1], rule induction methods[MI1, MI2, QU1] and rough set theory[PA1, ZI1], are introduced and applied to extract knowledge from databases, and the results show that these methods are appropriate.

Keywords

Training Sample Association Rule Medical Expert Covering Index Common Migraine 
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 1998

Authors and Affiliations

  • Shusaku Tsumoto
    • 1
  1. 1.Department of Information Medicine, Medical Research InstituteTokyo Medical and Dental UniversityBunkyo-city Tokyo 113Japan

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