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 and 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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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) |
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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 |
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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 |
4 |
Date of Issue |
2015-05-12 (HCS, HIP) |
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