Objective To explore the acupoint selection laws for treatment of post-stroke shoulder-hand syndrome (SHS) with acupuncture based on data mining technology. Methods Search and screen literature related to acupuncture treatment of SHS in CNKI, Wanfang Data Knowledge Service Platform, and VIP database to establish a prescription database. Excel was used to establish matrix data for acupoint standardization, frequency statistics and acupoint meridian tropism. The frequency of the use of specific acupoints was analyzed to establish a matrix database, which was then transformed into a pivotable and imported into SPSS Modeler 18.0 statistical software for visualization of the complex network of acupoints. And the Apriori algorithm was used to analyze the association rules between high-frequency acupoints. The hierarchical clustering analysis method of Origin 2021 software was used to cluster analysis the high-frequency acupoints. Results A total of 101 prescriptions were extracted from 101 articles, involving 67 acupoints, and the total frequency of all acupoints was 815 times. The top 5 acupoints ranked by application frequency were Jianyu (86 times), Hegu (70 times), Quchi (69 times), Waiguan (69 times) and Shousanli (49 times). The results of association rule analysis showed that the support of Quchi-Hegu, Waiguan-Hegu, Jianyu-Hegu was the highest. Four effective clustering groups were obtained through cluster analysis, namely, Jianyu-Jianliao-Hegu-Waiguan-Quchi-Shousanli-Binao, Jianxhen-Baxie-Tianzon-Jianjing, Houxi-Zhongzhu, Naiguan-Chize-Jiquan-Jianqian-ashi point. Conclusion Acupuncture treatment for post-stroke SHS mainly focuses on local acupoints and the three yang channels of hand. The use and combination laws of these acupoints may be the most simple and effective acupuncture scheme for SHS treatment.

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