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Paper Abstract and Keywords
Presentation 2021-11-18 13:50
On Application of Machine Learning for Deciding Acupuncture and Moxibustion Treatment Based on Symptoms
Hang Yang (Yamaguchi Univ.), Ren Wu (Yamaguchi Junior College), Mitsuru Nakata, Qi-Wei Ge (Yamaguchi Univ.) CAS2021-46 MSS2021-26
Abstract (in Japanese) (See Japanese page) 
(in English) The purpose of this paper is to apply artificial intelligence to decide appropriate acupuncture and moxibustion treatment according to the patient's disease based on Traditional Chinese Medicine. By collecting books on acupuncture and moxibustion treatment and collating clinical cases and acupuncture and moxibustion treatment methods, a database of symptoms and acupuncture and moxibustion treatment methods can be constructed and used as machine learning data. Furthermore, by applying conventional machine learning and deep learning methods, it is possible to present acupuncture and moxibustion treatment methods as the output if multiple symptom data are given as the input, even for acupuncture and moxibustion treatment methods that are not registered in the database. In this paper, we introduce the previous researches related to acupuncture and moxibustion treatment and machine learning, and then describe the concept of our research, the problems to be solved, and the outline of the solutions.
Keyword (in Japanese) (See Japanese page) 
(in English) artificial intelligence / machine learning / deep learning / acupuncture and moxibustion / traditional Chinese medicine / / /  
Reference Info. IEICE Tech. Rep., vol. 121, no. 250, MSS2021-26, pp. 52-57, Nov. 2021.
Paper # MSS2021-26 
Date of Issue 2021-11-11 (CAS, MSS) 
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 CAS2021-46 MSS2021-26

Conference Information
Committee MSS CAS IPSJ-AL  
Conference Date 2021-11-18 - 2021-11-19 
Place (in Japanese) (See Japanese page) 
Place (in English) Online 
Topics (in Japanese) (See Japanese page) 
Topics (in English)  
Paper Information
Registration To MSS 
Conference Code 2021-11-MSS-CAS-AL 
Language English (Japanese title is available) 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) On Application of Machine Learning for Deciding Acupuncture and Moxibustion Treatment Based on Symptoms 
Sub Title (in English)  
Keyword(1) artificial intelligence  
Keyword(2) machine learning  
Keyword(3) deep learning  
Keyword(4) acupuncture and moxibustion  
Keyword(5) traditional Chinese medicine  
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1st Author's Name Hang Yang  
1st Author's Affiliation Yamaguchi University (Yamaguchi Univ.)
2nd Author's Name Ren Wu  
2nd Author's Affiliation Yamaguchi Junior College (Yamaguchi Junior College)
3rd Author's Name Mitsuru Nakata  
3rd Author's Affiliation Yamaguchi University (Yamaguchi Univ.)
4th Author's Name Qi-Wei Ge  
4th Author's Affiliation Yamaguchi University (Yamaguchi Univ.)
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Speaker Author-1 
Date Time 2021-11-18 13:50:00 
Presentation Time 25 minutes 
Registration for MSS 
Paper # CAS2021-46, MSS2021-26 
Volume (vol) vol.121 
Number (no) no.249(CAS), no.250(MSS) 
Page pp.52-57 
#Pages 6 
Date of Issue 2021-11-11 (CAS, MSS) 

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