| Presentation | 2022-03-29 Decision of Acupoints in Acupuncture and Moxibustion Treatment by Deep Learning Hang Yang, Ren Wu, Mitsuru Nakata, Qi-Wei Ge, |
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| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | Most of the acupuncture and moxibustion treatments in Traditional Chinese Medicine are carried out based on the clinical experience of individual acupuncturists, from the examination of the patient's illness to the selection of acupoints and the decision of treatment prescriptions, due to which the same disease is often treated with different treatments. Therefore, regarding acupuncture and moxibustion treatment, it is necessary to establish objective and unified research methods and evaluation criteria based on Traditional Chinese Medicine, western medicine, and science and technology. In this paper, we propose a method to determine the acupoints of acupuncture and moxibustion treatment according to the patient's symptoms by using deep learning. Specifically, in this paper we build a database of symptoms and acupuncture and moxibustion treatment prescriptions, and perform learning by deep learning using several models. Furthermore, we evaluate the models using the test data and discuss the evaluation criteria. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | artificial intelligence / machine learning / deep learning / acupuncture and moxibustion / traditional Chinese medicine |
| Paper # | MSS2021-73,NLP2021-144 |
| Date of Issue | 2022-03-21 (MSS, NLP) |
| Conference Information | |
| Committee | MSS / NLP |
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| Conference Date | 2022/3/28(2days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Online |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | MSS, NLP, Work In Progress (MSS only), and etc. |
| Chair | Atsuo Ozaki(Osaka Inst. of Tech.) / Takuji Kosaka(Chukyo Univ.) |
| Vice Chair | Shingo Yamaguchi(Yamaguchi Univ.) / Akio Tsuneda(Kumamoto Univ.) |
| Secretary | Shingo Yamaguchi(Hokkaido Univ.) / Akio Tsuneda(NEC) |
| Assistant | Masato Shirai(Shimane Univ.) / Hideyuki Kato(Oita Univ.) / Yuichi Yokoi(Nagasaki Univ.) |
| Paper Information | |
| Registration To | Technical Committee on Mathematical Systems Science and its Applications / Technical Committee on Nonlinear Problems |
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| Language | ENG-JTITLE |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Decision of Acupoints in Acupuncture and Moxibustion Treatment by Deep Learning |
| 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 |
| 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.) |
| Date | 2022-03-29 |
| Paper # | MSS2021-73,NLP2021-144 |
| Volume (vol) | vol.121 |
| Number (no) | MSS-443,NLP-444 |
| Page | pp.pp.95-100(MSS), pp.95-100(NLP), |
| #Pages | 6 |
| Date of Issue | 2022-03-21 (MSS, NLP) |