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Paper Abstract and Keywords
Presentation 2008-09-22 09:00
[Invited Talk] A Data Mining Approach and Framework of Intelligent Diagnosis System for Coronary Artery Disease Prediction
Keun Ho Ryu (Chungbuk National Univ.), Wuon Shik Kim (Korea Research Inst. of Standards and Science), Heon Gyu Lee (Chungbuk National Univ.) DE2008-46
Abstract (in Japanese) (See Japanese page) 
(in English) One of our work is to develop a new and unique methodology useful in developing the various features of heart rate variability (HRV) and carotid arterial wall thickness helpful in diagnosing cardiovascular disease. In the paper, we not only propose a framework of intelligent diagnosis system but also describe a suitable prediction model to enhance the reliability of medical examinations and treatments for cardiovascular disease. We analyzed HRV for three recumbent postures. The interaction effects between the recumbent postures and groups of normal people and heart patients were observed based on HRV indexes. 99 normal subjects and 94 patients with coronary artery disease participated in this study. In order to extract various features, we tested six classification methods. As a result, CPAR and SVM (gave about 85%-90% goodness of fit) outperformed the other classifiers.
Keyword (in Japanese) (See Japanese page) 
(in English) Coronary Artery Disease / Heart Rate Variability / Carotid Arterial Wall Thickness / Intelligent Diagnosis System / Data Mining / / /  
Reference Info. IEICE Tech. Rep., vol. 108, no. 211, DE2008-46, pp. 33-34, Sept. 2008.
Paper # DE2008-46 
Date of Issue 2008-09-14 (DE) 
ISSN Print edition: ISSN 0913-5685    Online edition: ISSN 2432-6380
Copyright
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reproduction		 All rights are reserved and no part of this publication may be reproduced or transmitted in any form or by any means, electronic or mechanical, including photocopy, recording, or any information storage and retrieval system, without permission in writing from the publisher. Notwithstanding, instructors are permitted to photocopy isolated articles for noncommercial classroom use without fee. (License No.: 10GA0019/12GB0052/13GB0056/17GB0034/18GB0034)
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Conference Information
Committee DE  
Conference Date 2008-09-21 - 2008-09-22 
Place (in Japanese) (See Japanese page) 
Place (in English)  
Topics (in Japanese) (See Japanese page) 
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Paper Information
Registration To DE 
Conference Code 2008-09-DE 
Language English 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) A Data Mining Approach and Framework of Intelligent Diagnosis System for Coronary Artery Disease Prediction 
Sub Title (in English)  
Keyword(1) Coronary Artery Disease  
Keyword(2) Heart Rate Variability  
Keyword(3) Carotid Arterial Wall Thickness  
Keyword(4) Intelligent Diagnosis System  
Keyword(5) Data Mining  
Keyword(6)  
Keyword(7)  
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1st Author's Name Keun Ho Ryu  
1st Author's Affiliation Chungbuk National University (Chungbuk National Univ.)
2nd Author's Name Wuon Shik Kim  
2nd Author's Affiliation Korea Research Institute of Standards and Science (Korea Research Inst. of Standards and Science)
3rd Author's Name Heon Gyu Lee  
3rd Author's Affiliation Chungbuk National University (Chungbuk National Univ.)
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Speaker Author-1 
Date Time 2008-09-22 09:00:00 
Presentation Time 45 minutes 
Registration for DE 
Paper # DE2008-46 
Volume (vol) vol.108 
Number (no) no.211 
Page pp.33-34 
#Pages 2 
Date of Issue 2008-09-14 (DE) 

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