首页|On Application of Machine Learning for Deciding Acupuncture and Moxibustion Treatment Based on Symptoms
On Application of Machine Learning for Deciding Acupuncture and Moxibustion Treatment Based on Symptoms
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NSTL
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.
Artificial intelligenceMachine learningDeep learningAcupuncture and moxibustionTraditional chinese medicine
Hang YANG、Ren WU、Mitsuru NAKATA、Qi-Wei GE
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The Graduate School of East Asian Studies, Yamaguchi Univ.
NSTL
