| Presentation | 2021-11-18 On Application of Machine Learning for Deciding Acupuncture and Moxibustion Treatment Based on Symptoms 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) | 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) |
| Keyword(in English) | artificial intelligence / machine learning / deep learning / acupuncture and moxibustion / traditional Chinese medicine |
| Paper # | CAS2021-46,MSS2021-26 |
| Date of Issue | 2021-11-11 (CAS, MSS) |
| Conference Information | |
| Committee | MSS / CAS / IPSJ-AL |
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| Conference Date | 2021/11/18(2days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Online |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | |
| Chair | Atsuo Ozaki(Osaka Inst. of Tech.) / Hiroki Sato(Sony LSI Design) |
| Vice Chair | Shingo Yamaguchi(Yamaguchi Univ.) / Yoshinobu Maeda(Niigata Univ.) |
| Secretary | Shingo Yamaguchi(Hokkaido Univ.) / Yoshinobu Maeda(NEC) / (Sony LSI Design) |
| Assistant | Masato Shirai(Shimane Univ.) / Motoi Yamaguchi(TECHNOPRO) / Yohei Nakamura(Hitachi) / Takahide Sato(Univ. of Yamanashi) / Yasutoshi Aibara(Murata Manufacturing) |
| Paper Information | |
| Registration To | Technical Committee on Mathematical Systems Science and its Applications / Technical Committee on Circuits and Systems / Special Interest Group on Algorithms |
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| Language | ENG-JTITLE |
| 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 |
| 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 | 2021-11-18 |
| Paper # | CAS2021-46,MSS2021-26 |
| Volume (vol) | vol.121 |
| Number (no) | CAS-249,MSS-250 |
| Page | pp.pp.52-57(CAS), pp.52-57(MSS), |
| #Pages | 6 |
| Date of Issue | 2021-11-11 (CAS, MSS) |