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

Jung, Yong Gyu; Jung, Sung-Jun; Cha, Byeong Heon

doi:10.7236/ijasc.2017.6.3.22

Abstract ▼ AI-Helper

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 maki...

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.

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문제 정의

They survive for a considerable period of time due to improved quality of care and about 1 million people experience anesthesia for noncardiac surgery every year. In this paper, we aim to find the correlation between the frequency of percutaneous coronary intervention and the mortality rate by region. Therefore, we extract the detailed region, number of cases, and number of death among 14 data values and find the association through the algorithm.

제안 방법

Experiments were carried out by setting the Detailed Region attribute as a dependent variable and the number of cases and number of Death as independent variables based on the data Cardiac Surgery and Percutaneous Coronary Interventions. When analyzing the value, we performed the cross-validation with the fold value of 10.
Human medical information is the most valuable one among all biological data. In this paper, Decision trees were applied to enhance the accuracy of predicted values. C4.

성능/효과

Analysis of the results of this study showed that central NY and NY metro-Long Island had the lowest mortality rate compared to frequency, through decision tree and cluster analysis, and showed excellent survival rate of percutaneous coronary intervention. Manhattan has the highest mortality compared to other regions, indicating the lowest survival rate.

참고문헌 (7)

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

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