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Paper Abstract and Keywords
Presentation 2023-05-16 16:05
Exploratory study of coordinated movement characteristics based on causality to assist decision making in ASD diagnosis
Maresuke Seta, Yoshimasa Ohmoto (Shizuoka Univ), Hirokazu Kumazaki, Ryoichiro Iwanaga, Akira Imamura, Hitomi Shimizu (Nagasaki Univ), Kazunori Terada (Gifu Univ) HCS2023-40 HIP2023-40
Abstract (in Japanese) (See Japanese page) 
(in English) In recent years, the demand for diagnosis of autism spectrum disorder has increased. In order to provide sufficient resources to meet this demand, machine learning interventions can be effective in assisting decision making in the medical field. Therefore, in order to confirm the utility of machine learning interventions in the field of diagnosis, this paper describes the development of a model to predict screening indicators that are widely used in the diagnosis process. As a research method, quantitative explanatory variables based on causality were obtained from "one-legged standing," which is performed as screening, and qualitative screening indicators were predicted. As a result, it was confirmed that there is a rough relationship between the screening score and the predicted value , but some problems remain before the model can be used practically.
Keyword (in Japanese) (See Japanese page) 
(in English) ASD / Decision-making assistance / / / / / /  
Reference Info. IEICE Tech. Rep., vol. 123, no. 24, HCS2023-40, pp. 200-205, May 2023.
Paper # HCS2023-40 
Date of Issue 2023-05-08 (HCS, HIP) 
ISSN 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)
Download PDF HCS2023-40 HIP2023-40

Conference Information
Committee HIP HCS HI-SIGCOASTER  
Conference Date 2023-05-15 - 2023-05-16 
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 HCS 
Conference Code 2023-05-HIP-HCS-SIGCE 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Exploratory study of coordinated movement characteristics based on causality to assist decision making in ASD diagnosis 
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Keyword(1) ASD  
Keyword(2) Decision-making assistance  
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1st Author's Name Maresuke Seta  
1st Author's Affiliation Shizuoka University (Shizuoka Univ)
2nd Author's Name Yoshimasa Ohmoto  
2nd Author's Affiliation Shizuoka University (Shizuoka Univ)
3rd Author's Name Hirokazu Kumazaki  
3rd Author's Affiliation Nagasaki University (Nagasaki Univ)
4th Author's Name Ryoichiro Iwanaga  
4th Author's Affiliation Nagasaki University (Nagasaki Univ)
5th Author's Name Akira Imamura  
5th Author's Affiliation Nagasaki University (Nagasaki Univ)
6th Author's Name Hitomi Shimizu  
6th Author's Affiliation Nagasaki University (Nagasaki Univ)
7th Author's Name Kazunori Terada  
7th Author's Affiliation Gifu University (Gifu Univ)
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Speaker Author-1 
Date Time 2023-05-16 16:05:00 
Presentation Time 20 minutes 
Registration for HCS 
Paper # HCS2023-40, HIP2023-40 
Volume (vol) vol.123 
Number (no) no.24(HCS), no.25(HIP) 
Page pp.200-205 
#Pages 6 
Date of Issue 2023-05-08 (HCS, HIP) 

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