earticle

논문검색

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

초록

영어

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.

목차

Abstract
 1. Introduction
 2. Related Research
  2.1 Decision trees
  2.2 C4.5
 3. Experiment
  3.1 Experimental data
 4. Experimental Results and Discussion
  4.1 C4.5 Algorithm Results
 5. Conclusion
 References

저자정보

  • Yong Gyu Jung Dept. of Medical IT, Eulji University, Korea
  • Sung-Jun Jung Dept. of Electronic Engineering, Sogang University, Korea
  • Byeong Heon Cha Dept. of Biomedical Laboratory Science, Eulji University, Korea

참고문헌

자료제공 : 네이버학술정보

    함께 이용한 논문

      ※ 원문제공기관과의 협약기간이 종료되어 열람이 제한될 수 있습니다.

      0개의 논문이 장바구니에 담겼습니다.