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.