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Paper Abstract and Keywords
Presentation 2015-05-20 16:05
Compilation of a computer-aided diagnosis method using spatial and temporal characteristics of NIRS data in major depressive disorder and bipolar disorder
Yukihisa Matsuda, Ken-ichiro Watanabe, Hiroaki Kihara, Yasuhiro Kawasaki (Kanazawa Med Univ.) HCS2015-40 HIP2015-40
Abstract (in Japanese) (See Japanese page) 
(in English) Objectives: In this study, we examined new computer-aided diagnosis method with support vector machine (SVM) for classification of MDD and BD. Methods: Twenty-two patients with MDD and 11 patients with BD participated in verbal fluency task (VFT). The 52-channel NIRS machine (ETG-4000) measures relative changes of [oxy-Hb] at frontal and temporal robes while VFT. Concordance rates between clinical diagnosis and automatic diagnosis by SVM were calculated. Results: Seven diagnostic models indicated over 90% of concordance rates. Conclusions: New automatic diagnosis algorithms were obtained by SVM. The application of SVM to massive NIRS data contributed to product optimized diagnostic tools.
Keyword (in Japanese) (See Japanese page) 
(in English) major depressive disorder / bipolar disorder / near-infrared spectroscopy test / machine learning / / / /  
Reference Info. IEICE Tech. Rep., vol. 115, no. 36, HIP2015-40, pp. 259-262, May 2015.
Paper # HIP2015-40 
Date of Issue 2015-05-12 (HCS, HIP) 
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)
Download PDF HCS2015-40 HIP2015-40

Conference Information
Committee HCS HIP HI-SIGCOASTER  
Conference Date 2015-05-19 - 2015-05-20 
Place (in Japanese) (See Japanese page) 
Place (in English) Okinawa Industry Support Center 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Communication Enhancing, Human Communications, and Human Information Processing 
Paper Information
Registration To HIP 
Conference Code 2015-05-HCS-HIP-SIGCE 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Compilation of a computer-aided diagnosis method using spatial and temporal characteristics of NIRS data in major depressive disorder and bipolar disorder 
Sub Title (in English)  
Keyword(1) major depressive disorder  
Keyword(2) bipolar disorder  
Keyword(3) near-infrared spectroscopy test  
Keyword(4) machine learning  
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1st Author's Name Yukihisa Matsuda  
1st Author's Affiliation Kanazawa Medical University (Kanazawa Med Univ.)
2nd Author's Name Ken-ichiro Watanabe  
2nd Author's Affiliation Kanazawa Medical University (Kanazawa Med Univ.)
3rd Author's Name Hiroaki Kihara  
3rd Author's Affiliation Kanazawa Medical University (Kanazawa Med Univ.)
4th Author's Name Yasuhiro Kawasaki  
4th Author's Affiliation Kanazawa Medical University (Kanazawa Med Univ.)
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Speaker Author-1 
Date Time 2015-05-20 16:05:00 
Presentation Time 25 minutes 
Registration for HIP 
Paper # HCS2015-40, HIP2015-40 
Volume (vol) vol.115 
Number (no) no.35(HCS), no.36(HIP) 
Page pp.259-262 
#Pages
Date of Issue 2015-05-12 (HCS, HIP) 


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