Title :
A Comparative Study of Medical Data Classification Methods Based on Decision Tree and Bagging Algorithms
Author :
My Chau Tu ; Shin, Dongil ; Shin, DongKyoo
Author_Institution :
Dept. of Comput. Sci., Sejong Univ., Seoul, South Korea
Abstract :
Medical data mining has been a popular data mining topic of late. Especially, diagnosing of the heart disease is one of the important issue and many researchers investigated to develop intelligent medical decision support systems to help the physicians. In this paper, we propose the use of decision tree C4.5 algorithm, bagging with decision tree C4.5 algorithm and bagging with Nai¿ve Bayes algorithm to identify the heart disease of a patient and compare the effectiveness, correction rate among them. The data we study is collected from patients with coronary artery disease.
Keywords :
Bayes methods; data mining; decision support systems; decision trees; medical computing; patient diagnosis; pattern classification; Nai¿ve Bayes algorithm; bagging algorithms; coronary artery disease; decision tree C4.5 algorithm; heart disease diagnosis; medical data classification methods; medical data mining; medical decision support systems; Bagging; Cardiac disease; Classification tree analysis; Computer science; Coronary arteriosclerosis; Data mining; Databases; Decision trees; Heart; Medical diagnostic imaging; bagging; data classification; decision tree; heart disease;
Conference_Titel :
Dependable, Autonomic and Secure Computing, 2009. DASC '09. Eighth IEEE International Conference on
Conference_Location :
Chengdu
Print_ISBN :
978-0-7695-3929-4
Electronic_ISBN :
978-1-4244-5421-1
DOI :
10.1109/DASC.2009.40
