| Presentation | 2023-01-11 Comparison of Machine Learning Methods for Decision of Acupoints in Acupuncture and Moxibustion Treatment 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) | After thousands of years of development, a large number of clinical experiences of acupuncture and moxibustion treatment in traditional Chinese medicine have been recorded in the form of text. Artificial intelligence represented by machine learning can enable computers to learn rules from a large number of existing data through algorithms, train appropriate mathematical models, and use the trained models to analyze and predict the data. This paper aims to train an appropriate model by learning the text data of acupuncture and moxibustion treatment through machine learning algorithms, so as to develop an intelligent system that can master the rules of acupoints and provide more convenient and accurate acupoints prescriptions for treating patients. Specifically, in this paper we build a database of symptoms and acupoints prescriptions, and applying several algorithms to learn the data in the database to train the related mathematical models. As the result of computational experiments, one of the algorithms, Seq2seq with attention, is most effective to provide acupoints prescriptions． |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | artificial intelligence / machine learning / acupuncture and moxibustion / traditional Chinese medicine |
| Paper # | MSS2022-54,SS2022-39 |
| Date of Issue | 2023-01-03 (MSS, SS) |
| Conference Information | |
| Committee | MSS / SS |
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| Conference Date | 2023/1/10(2days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | |
| Chair | Atsuo Ozaki(Osaka Inst. of Tech.) / Kozo Okano(Shinshu Univ.) |
| Vice Chair | Shingo Yamaguchi(Yamaguchi Univ.) / Yoshiki Higo(Osaka Univ.) |
| Secretary | Shingo Yamaguchi(Hokkaido Univ.) / Yoshiki Higo(NEC) |
| Assistant | Masato Shirai(Shimane Univ.) / Shinsuke Matsumoto(Osaka Univ.) |
| Paper Information | |
| Registration To | Technical Committee on Mathematical Systems Science and its Applications / Technical Committee on Software Science |
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| Language | ENG-JTITLE |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Comparison of Machine Learning Methods for Decision of Acupoints in Acupuncture and Moxibustion Treatment |
| Sub Title (in English) | |
| Keyword(1) | artificial intelligence |
| Keyword(2) | machine learning |
| Keyword(3) | acupuncture and moxibustion |
| Keyword(4) | 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 | 2023-01-11 |
| Paper # | MSS2022-54,SS2022-39 |
| Volume (vol) | vol.122 |
| Number (no) | MSS-329,SS-330 |
| Page | pp.pp.54-59(MSS), pp.54-59(SS), |
| #Pages | 6 |
| Date of Issue | 2023-01-03 (MSS, SS) |