Effective Diagnosis of Heart Disease through Bagging Approach

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 patie...

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Bibliographic Details
Published in2009 2nd International Conference on Biomedical Engineering and Informatics pp. 1 - 4
Main Authors My Chau Tu, Dongil Shin, DongKyoo Shin
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.10.2009
Subjects
Bagging
Cardiac disease
Coronary arteriosclerosis
Decision trees
Machine learning
Medical diagnostic imaging
Predictive models
Sampling methods
Training data
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ISBN9781424441327
1424441323
ISSN1948-2914
DOI10.1109/BMEI.2009.5301650

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Summary: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.
ISBN:9781424441327
1424441323
ISSN:1948-2914
DOI:10.1109/BMEI.2009.5301650