International journal of advanced smart convergence

The Institute of Internet, Broadcasting and Communication (한국인터넷방송통신학회)
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Association Analysis of Parkinson's Disease using Apriori Algorithm

  • Jung, Yong-Gyu (Dept. of Medical IT Marketing, Eulji University) ;
  • Kim, Oh-Jin (School of Medical Industry, Eulji University) ;
  • Won, Jae-Kang (Department of Computer Science, Kyonggi University)
  • Received : 2012.01.26
  • Published : 2012.05.31
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Abstract

Parkinson's disease is representative degenerative diseases of the nervous system, which is from deficiency of dopamine neurons to pass in which the gradual degeneration of the body. In this paper, open UCI repository data of Parkinson's patients is used for experiments. The classification based on correlation analysis is examined. In addition, the relationship between groups is differentiated by cluster analysis based on patients with Parkinson's disease by apriori algorithm and correlation analysis. It is used to find the properties that distinguish cluster analysis. Though the disease is the same in the basic structure, each group is compared as each gender group with the most distinctive part of the characteristics.

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