山西中医药大学学报2026，Vol.27Issue(1)：8-14,7.DOI:10.19763/j.cnki.2096-7403.2026.01.14
基于数据挖掘技术探析针灸治疗血管性痴呆的选穴规律
Analysis of acupoint selection patterns in acupuncture treatment for vascular dementia based on data mining technology
摘要
Abstract
Objective:To analyze the acupoint selection patterns in acupuncture treatment for vascular dementia(VD)using data mining technology,providing reference for clinical practice.Methods:Clinical research literature on acu-puncture treatment for VD published between January 1,2015,and April 1,2025 was retrieved from the China National Knowledge Infrastructure(CNKI)database.Literature meeting the inclusion criteria was screened,and information was ex-tracted to establish a database.Descriptive analysis,association rule analysis and cluster analysis of acupoint selection pat-terns were conducted using Excel,IBM SPSS Statistics 26.0 and IBM SPSS Modeler 18.0 software.Results:A total of 74 articles and 93 acupoints were included.Baihui(GV20)was the most frequently used acupoint(63 times).The acupoints in prescriptions were mostly distributed along the Governor Vessel and the head.Acupoints with a frequency of use≥10 times included Baihui(GV20),Sanyinjiao(SP6),Zusanli(ST36),Neiguan(PC6),Shenting(GV24),Sishencong(EX-HN1),Shenmen(HT7),Yintang(EX-HN3),Shuigou(GV26),Taixi(KI3),Fengchi(GB20),Xuanzhong(GB39),Fengfu(GV16)and Dazhui(GV14).The top five meridians in terms of acupoint frequency were the Governor Vessel,Ex-tra Nerve Points,Gallbladder Meridian of Foot-Shaoyang,Stomach Meridian of Foot-Yangming and Pericardium Meridian of Hand-Jueyin.The top three strongest association rules in acupoint association rule analysis were Baihui(GV20)-Sishen-cong(EX-HN1),Baihui(GV20)-Shenting(GV24)and Sishencong(EX-HN1)-Neiguan(PC6).Cluster analysis identi-fied three effective acupoint clusters:cluster 1:Baihui(GV20),Zusanli(ST36),Xuanzhong(GB39),Taixi(KI3),Fengfu(GV16),Shenting(GV24);cluster 2:Sishencong(EX-HN1),Neiguan(PC6),Fengchi(GB20),Shuigou(GV26),Sanyinjiao(SP6),Shenmen(HT7),Yintang(EX-HN3);cluster 3:Dazhui(GV14).Conclusion:Acupunc-ture treatment for VD is based on the core principles of meridian and Qi-blood theory,emphasizing both the root and branch,combining distal and local acupoint selection to promote the flow of Qi and blood in the brain collaterals,thereby improving cognitive function with significant clinical effects.关键词
数据挖掘/血管性痴呆/针灸治疗/选穴规律Key words
data mining/VD/acupuncture treatment/acupoint selection patterns分类
医药卫生引用本文复制引用
武增艳,杨发明,王鑫,吴红全,周逸潇,陆经霞,王露莹,杨梦笛,王一添..基于数据挖掘技术探析针灸治疗血管性痴呆的选穴规律[J].山西中医药大学学报,2026,27(1):8-14,7.基金项目
山西省卫生健康委员会办公室2024年"强医工程"补助资金中医药建设项目(晋卫办中医药函[2024]20号) （晋卫办中医药函[2024]20号）
山西省中医药管理局(2024ZYYB017) （2024ZYYB017）
