DIAGNOSING CARDIOVASCULAR DISEASE USING AN ENHANCED ROUGH SETS APPROACH
Authors: Cheng, Ching-Hsue1; Chen, Jr-Shian2
Source: Applied Artificial Intelligence, Volume 23, Number 6, July 2009 , pp. 487-499(13)
Publisher: Taylor and Francis Ltd
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- In this Subject: Computer Science
- By this author: Cheng, Ching-Hsue ; Chen, Jr-Shian
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Abstract:
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.Document Type: Research article
DOI: 10.1080/08839510903078077
Affiliations: 1: Department of Information Management, National Yunlin University of Science and Technology, Touliu, Yunlin, Taiwan 2: Department of Information Management, National Yunlin University of Science and Technology, Touliu, Yunlin, Taiwan,Department of Computer Science and Information Management, Hungkuang, University, Shalu, Taichung, Taiwan
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