In Zhen ci yan jiu = Acupuncture research
Machine learning is a newly emerged discipline. It develops rapidly and has been penetrated into all walks of life and made great achievements in medical field. The introduction of machine learning in the field of acupuncture and moxibustion should fully play the advantages of targeted therapy of acupuncture and moxibustion, optimize the resource allocation of traditional Chinese medicine and accurately serve the clinic rather than only limited to data mining and analysis. In the paper, through the analysis of the relevant literature in recent years, the combination of acupuncture-moxibustion with machine learning was discussed from the aspects of acupoint selection and prescription, clinical teaching application of acupuncture and moxibustion, the prediction on acupuncture curative effect, etc. Moreover, on the base of multidisciplinary intersection and by means of machine learning, the exploration was given on the future direction of acupuncture and moxibustion.
Liang Ji, Han Ming-Yuan, Wang Cheng-Bin, Lü Xiao-Lin, Sun Zhong-Ren, Yin Hong-Na
Acupuncology, Interdisciplinary, Machine learning, Review