A Decision Tree-based Analysis for Paralysis Disease Data

  • Shin, Yangkyu (Associate Professor, Faculty of Information and Science, Kyungsan University, Kyungsan Kyungpook 712-240)
  • Published : 2001.12.01

Abstract

Even though a rapid development of modem medical science, paralysis disease is a highly dangerous and murderous disease. Shin et al. (1978) constructed the diagnosis expert system which identify a type of the paralysis disease from symptoms of a paralysis disease patients by using the canonical discriminant analysis. The decision tree-based analysis, however, has advantages over the method used in Shin et al. (1998), such as it does not need assumptions - linearity and normality, and suggest appropriate diagnosis procedure which is easily explained. In this paper, we applied the decision tree to construct the model which Identify a type of the paralysis disease.

Keywords

References

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