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Correlation Analysis of the Frequency and Death Rates in Arterial Intervention using C4.5

  • Jung, Yong Gyu ;
  • Jung, Sung-Jun ;
  • Cha, Byeong Heon
  • Received : 2017.06.20
  • Accepted : 2017.07.17
  • Published : 2017.09.30

Abstract

With the recent development of technologies to manage vast amounts of data, data mining technology has had a major impact on all industries.. Data mining is the process of discovering useful correlations hidden in data, extracting executable information for the future, and using it for decision making. In other words, it is a core process of Knowledge Discovery in data base(KDD) that transforms input data and derives useful information. It extracts information that we did not know until now from a large data base. In the decision tree, c4.5 algorithm was used. In addition, the C4.5 algorithm was used in the decision tree to analyze the difference between frequency and mortality in the region. In this paper, the frequency and mortality of percutaneous coronary intervention for patients with heart disease were divided into regions.

Keywords

Decision Tree;C4.5 Algorithm;Percutaneous Coronary Intervention;Heart Disease;Mortality

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