摘要
从针灸处方及适应证挖掘、针刺疗效预测及其影响因素评价、穴位特异性及针刺手法研究3个方面对机器学习在针灸研究领域的应用现状进行梳理,并对当前研究存在的问题以及未来研究趋势进行讨论与展望。认为今后的研究应当根据研究目的及数据特征,选择合适的机器学习算法构建模型;重视特征设计和特征选择,并做好特征清洗工作;重视样本数据采集,通过建立针灸数据共享平台和规范数据采集流程,以提高数据质量。
The application progress of machine learning in research of acupuncture and moxibustion was reviewed from three aspects: mining of acupuncture and moxibustion prescription and indications, acupuncture efficacy prediction and its influencing factors, acupoint specificity and acupuncture manipulation research, and the existing problems in current research and future research trends were discussed. It is believed that the appropriate machine learning algorithm should be selected to build the model according to the research purpose and data characteristics in the future research;attention should be paid to feature design, feature selection and feature cleaning;sample data collection should be a priority, and data sharing platform and standardized data collection should be developed to improve the data quality.
作者
尹涛
何昭璇
孙睿睿
李政杰
余思奕
兰蕾
侯键
曾芳
YIN Tao;HE Zhao-xuan;SUN Rui-rui;LI Zheng-jie;YU Si-yi;LAN Lei;HOU Jian;ZENG Fang(School of Acupuncture-Moxibustion and Tuina,Chengdu University of TCM,Chengdu 610075,Sichuan Province,China;Acupuncture Brain Science Research Center,Chengdu University of TCM,Chengdu 610075,Sichuan Province,China;Key Laboratory of Acupuncture-Moxibustion and Chronobiology,Chengdu 610075;Department of Radiology,Affiliated Hospital of Chengdu University of TCM)
出处
《中国针灸》
CAS
CSCD
北大核心
2020年第12期1383-1386,共4页
Chinese Acupuncture & Moxibustion
基金
国家自然科学基金优秀青年基金项目:81622052
国家自然科学基金面上项目:81973960
四川省科技计划项目:2020JDRC0105。
关键词
机器学习
针灸
人工智能
神经影像
machine learning
acupuncture and moxibustion
artificial intelligence
neuroimaging
