DIAGNOSING CARDIOVASCULAR DISEASE USING AN ENHANCED ROUGH SETS APPROACH

Cardiovascular disease is a chronic disease and an ongoing threat to human health. Clinical data, including chemistry analysis data and electrocardiogram (ECG) data for heartbeat behavior, are commonly used to classify the cardiovascular diseases in supporting medical diagnosis. This study proposes...

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Bibliographic Details
Published in:Applied artificial intelligence 2009-07, Vol.23 (6), p.487-499
Main Authors: Cheng, Ching-Hsue, Chen, Jr-Shian
Format: Article
Language:English
Subjects:
Artificial intelligence
Cardiovascular disease
Electrocardiography
Heart
Medical diagnosis
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Summary:Cardiovascular disease is a chronic disease and an ongoing threat to human health. Clinical data, including chemistry analysis data and electrocardiogram (ECG) data for heartbeat behavior, are commonly used to classify the cardiovascular diseases in supporting medical diagnosis. This study proposes a new approach for enhancing rough set classifier which applied to diagnose cardiovascular disease. Two datasets were used in this empirical case study to illustrate the proposed approach. Due to its improved accuracy and fewer rules, the proposed approach is superior to listing methods.
ISSN:0883-9514
1087-6545
DOI:10.1080/08839510903078077