Title :
Effective Diagnosis of Heart Disease through Bagging Approach
Author :
Tu, My Chau ; Shin, Dongil ; Shin, DongKyoo
Author_Institution :
Dept. of Comput. Sci., Sejong Univ., Seoul, South Korea
Abstract :
The diagnosis of heart disease is important issue, prompting many researchers to work on development of intelligent medical decision support systems to improve the ability of physicians. In this paper, we propose the use of a bagging algorithm to indentify the warning signs of heart disease in patients and also to compare the effectiveness of the bagging algorithm with the decision tree algorithm that has been used by many researchers.
Keywords :
cardiology; decision support systems; decision trees; learning (artificial intelligence); medical computing; patient diagnosis; bagging approach; decision tree algorithm comparison; heart disease diagnosis; medical decision support systems; Bagging; Cardiac disease; Coronary arteriosclerosis; Databases; Decision trees; Machine learning; Medical diagnostic imaging; Predictive models; Sampling methods; Training data;
Conference_Titel :
Biomedical Engineering and Informatics, 2009. BMEI '09. 2nd International Conference on
Conference_Location :
Tianjin
Print_ISBN :
978-1-4244-4132-7
Electronic_ISBN :
978-1-4244-4134-1
DOI :
10.1109/BMEI.2009.5301650
