Traditional Chinese medicine acupuncture, as a unique medical system in China, has formed a rich clinical experience and theoretical system after thousands of years of development, and modern medical research has confirmed that acupuncture has significant efficacy in the treatment of many diseases. In this paper, the association law between acupuncture points and diseases was deeply analyzed through the construction of knowledge mapping technology, which provides a scientific basis for clinical acupuncture treatment. The study used a systematic search method to retrieve relevant literature from China Knowledge Network, Wanfang Knowledge Service Platform, and Wipu Chinese Science and Technology Journal Database from January 1, 2018 to August 15, 2023, and used data mining techniques such as systematic cluster analysis and association rule mining, combined with CiteSpace software to visualize and analyze the knowledge graph. Finally, 354 literatures were included, involving 462 acupoints and 22 meridians. Frequency statistics showed that the frequency of foot Sanli was used up to 61 times, and the frequency of foot solar bladder meridian was used up to 173 times. The association rule analysis found that the confidence level of the association between Fengchi and Hegu was as high as 91.54%, and the cluster analysis divided the high-frequency acupoints into 5 major groups.CiteSpace analysis constructed a keyword co-occurrence network graph containing 570 nodes, and generated 7 major clusters. The study demonstrated that the knowledge graph technology can effectively reveal the association patterns between acupuncture points and diseases, provide data support for clinical selection of acupuncture points, and promote the modernization and development of acupuncture and evidence-based medical practice.
