微创医学2024，Vol.19Issue(2)：149-154,6.DOI:10.11864/j.issn.1673.2024.02.09
基于数据挖掘技术探讨针刺治疗脑卒中肩手综合征的取穴规律
Acupoint selection laws for treatment of post-stroke shoulder-hand syndrome with acupuncture based on data mining technology:an exploration study
摘要
Abstract
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.关键词
肩手综合征/针刺/取穴规律/数据挖掘/可视化Key words
Shoulder-hand syndrome/Acupuncture/Acupoint selection laws/Data mining/Visualization引用本文复制引用
黄树武,高玉广,杜涵哲,黄奕菲,覃美相,崔俊武..基于数据挖掘技术探讨针刺治疗脑卒中肩手综合征的取穴规律[J].微创医学,2024,19(2):149-154,6.基金项目
国家自然科学基金项目(编号:81760887) （编号:81760887）
广西科技厅重点研发项目(编号:AB18126085) （编号:AB18126085）
广西壮族自治区中医药管理局自筹经费科研课题(编号:GXZYA20220023、GXZYA20220023) （编号:GXZYA20220023、GXZYA20220023）
广西中医药大学石墨烯生物医药应用技术研究院项目(编号:H9900201) （编号:H9900201）
