DocumentCode
2089629
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
fYear
2009
fDate
17-19 Oct. 2009
Firstpage
1
Lastpage
4
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;
fLanguage
English
Publisher
ieee
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
Type
conf
DOI
10.1109/BMEI.2009.5301650
Filename
5301650
Link To Document