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Fan, M.L., Wei, Y.T., Wei, J.N., Zhang, Y.Z., Chen, J., Ge, H., He, X.F. and Hao, H.W. (2019) Law of Meridian and Acupoint Selection in Acupuncture Treatment for Anxiety Based on Data-mining Method. Chinese Journal of Basic Medicine in Traditional Chinese Medicine, 25, 357-360.
https://d.wanfangdata.com.cn/periodical/zgzyjcyx201903027

has been cited by the following article:

• TITLE: Classification of Acupuncture Points Based on the Bert Model*

  AUTHORS: Xi Zhong, Yangli Jia, Dekui Li, Xiangliang Zhang

  KEYWORDS: Bert Model, Machine Learning, Classification Model Comparison

  JOURNAL NAME: Journal of Data Analysis and Information Processing, Vol.9 No.3, July 8, 2021

  ABSTRACT: In this paper, we explore the multi-classification problem of acupuncture acupoints based on Bert model, i.e., we try to recommend the best main acupuncture point for treating the disease by classifying and predicting the main acupuncture point for the disease, and further explore its acupuncture point grouping to provide the medical practitioner with the optimal solution for treating the disease and improving the clinical decision-making ability. The Bert-Chinese-Acupoint model was constructed by retraining on the basis of the Bert model, and the semantic features in terms of acupuncture points were added to the acupuncture point corpus in the fine-tuning process to increase the semantic features in terms of acupuncture points, and compared with the machine learning method. The results show that the Bert-Chinese Acupoint model proposed in this paper has a 3% improvement in accuracy compared to the best performing model in the machine learning approach.