艾灸
医学
针灸科
多学科方法
领域(数学)
交叉口(航空)
资源(消歧)
人工智能
替代医学
医学物理学
机器学习
传统医学
计算机科学
病理
工程类
社会科学
社会学
航空航天工程
纯数学
数学
计算机网络
作者
Ji Liang,Mingyuan Han,Chengbin Wang,Xiaolin Lü,Zhongren Sun,Hongna Yin
出处
期刊:Acupuncture Research
日期:2021-06-25
卷期号:46 (6): 460-463
被引量:1
标识
DOI:10.13702/j.1000-0607.20210160
摘要
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.
科研通智能强力驱动
Strongly Powered by AbleSci AI