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Classification of Acupuncture Points Based on the Bert Model*

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.