基于数据挖掘分析穴位贴敷疗法防治小儿反复呼吸道感染的选穴规律  

Analysis of Acupoint Selection Patterns for Acupoint Application in Prevention and Treatment of Children’s Recurrent Respiratory Tract Infections by Data Mining

作　　者：李敏 曾佩灵 吴雪梅 王曙辉[3] LI Min;ZENG Pei-Ling;WU Xue-Mei;WANG Shu-Hui(Clinical Medical School of Acupuncture,Moxibusiton and Rehabilitation,Guangzhou University of Chinese Medicine,Guangzhou 510405 Guangdong,China;School of Acupuncture and Moxibusiton,Beijing University of Chinese Medicine,Beijing 100102,China;Shenzhen Hospital of Guangzhou University of Chinese Medicine Shenzhen 518048 Guangdong,China)

机构地区：[1]广州中医药大学针灸康复临床医学院,广东广州510006 [2]北京中医药大学针灸推拿学院,北京100102 [3]广州中医药大学深圳医院,广东深圳518048

出　　处：《广州中医药大学学报》2021年第7期1412-1416,共5页Journal of Guangzhou University of Traditional Chinese Medicine

基　　金：深圳市医疗卫生三名工程资助项目(编号:SZSM201502044)。

摘　　要：【目的】采用数据挖掘技术分析穴位贴敷防治小儿反复呼吸道感染的选穴规律。【方法】检索中国知网、万方、维普及中国生物医学文献数据库中关于穴位贴敷防治小儿反复呼吸道感染的文献,采用频次统计、聚类分析、关联规则方法进行选穴规律分析。【结果】共纳入58篇文献,涉及22个腧穴。腧穴多集中在膀胱经,使用频率最高的腧穴是肺俞穴,穴位分布以腰背部、颈项部居多,涉及背俞穴、交会穴、八会穴、募穴、下合穴、五腧穴、络穴等7类特定穴。通过高频聚类分析得到3个聚类群,关联规则显示关联度较高的为“定喘→肺俞”“膻中→肺俞”等。【结论】通过数据挖掘技术可以从不同角度总结分析运用穴位贴敷疗法防治小儿反复呼吸道感染的选穴规律,更好地指导临床运用。Objective To analyze the acupoint selection patterns for acupoint application in the prevention and treatment of children’s recurrent respiratory tract infection(RRTI)by data mining technology.Methods The literatures on acupoint application for prevention and treatment of children’s RRTI were retrieved from CNKI,Wanfang,VIP,and Chinese biomedical literature databases to analyze the patterns of point selection by frequency statistics,cluster analysis,and association rules.Results A total of 58 literatures were included,involving 22 acupoints.The acupoints were mostly concentrated at the bladder meridian.The most frequently used acupoint was Feishu(BL13).The distribution of acupoints was mostly at the back and neck,involving 7 types of specific acupoints including Beishu(BL23)point,crossing point and eight influential point,front-mu point,lower He-sea point,five transport points,luo-(connecting)point.The 3 clusters were obtained through highfrequency cluster analysis,and the association rules showed that“Dingchuan(EX-B1)→Feishu(BL13)”“Danzhong(CV17)→Feishu(BL13)”had higher correlation.Conclusion By data mining technology,we can summarize and analyze the patterns of acupoint selection for the prevention and treatment of children’s RRTI from different perspectives for guiding clinical application.

关 键 词：小儿反复呼吸道感染 穴位贴敷 数据挖掘 选穴规律 聚类分析 关联规则 

分 类 号：R246.9[医药卫生—针灸推拿学]