首页 | 本学科首页   官方微博 | 高级检索  
检索        

基于数据挖掘慢性阻塞性肺疾病穴位贴敷取穴用药规律
引用本文:王佳然,吕晓东,庞立健,刘创,刘勇明,刘妍彤,张浩洋,郑钰,盛野.基于数据挖掘慢性阻塞性肺疾病穴位贴敷取穴用药规律[J].世界中西医结合杂志,2020(2):231-235.
作者姓名:王佳然  吕晓东  庞立健  刘创  刘勇明  刘妍彤  张浩洋  郑钰  盛野
作者单位:辽宁中医药大学;辽宁中医药大学附属医院
基金项目:国家中医药管理局中医络病重点学科建设项目(T0302);国家自然基金面上项目(81373579);国家自然基金青年基金项目(81403290);辽宁省科技厅计划项目(2012225018-202);辽宁省中医临床重点学(专)科服务能力建设项目(2013-LNZYXZK-2);辽宁省高等学校科学研究一般项目(L2014369)
摘    要:目的基于数据挖掘技术探讨穴位贴敷治疗慢性阻塞性肺疾病(COPD)的取穴用药规律。方法以中国知网、维普资讯为检索库,检索数据库中全部运用穴位贴敷治疗慢性阻塞性肺疾病的文献,建立相关数据库进行探究。采用数据挖掘方法(频数频率分析,聚类分析,关联规则分析等)进行取穴用药规律探究。结果共检索出142篇文献,收集穴位组合142组,40个穴位,方药组合124组,中药109味。在穴位贴敷中常用穴位有肺俞、定喘、肾俞、天突、脾俞,最常涉及的经脉为足太阳膀胱经。贴敷用药以白芥子、细辛、延胡索、甘遂、生姜为核心药物。高频药物聚类分析结果有三个小的聚类方,关联规则分析用药种类以白芥子、细辛、延胡索三种药为主。结论临床上运用穴位贴敷治疗慢性阻塞性肺疾病,常用辛温之性的药物,配合足太阳膀胱经的穴位,从肺脾肾三个方面进行论治。

关 键 词:慢性阻塞性肺疾病  穴位贴敷  数据挖掘  频数分析  聚类分析  关联规则分析

Research on the regularity of point and medicinal selection for TCM point application in treating chronic obstructive pulmonary disease using data mining techniques
WANG Jia-ran,LYU Xiao-dong,PANG Li-jian,LIU Chuang,LIU Yong-ming,LIU Yan-tong,ZHANG Hao-yang,ZHEN Yu,SHENG Ye.Research on the regularity of point and medicinal selection for TCM point application in treating chronic obstructive pulmonary disease using data mining techniques[J].World Journal Of Integrated Traditional and Wesrern Medicine,2020(2):231-235.
Authors:WANG Jia-ran  LYU Xiao-dong  PANG Li-jian  LIU Chuang  LIU Yong-ming  LIU Yan-tong  ZHANG Hao-yang  ZHEN Yu  SHENG Ye
Institution:(Liaoning University of Chinese Medicine,Shenyang Liaoning 110032;Affiliated Hospital of Liaoning University of Chinese Medicine,Shenyang Liaoning 110032)
Abstract:Objective To investigate the regularity of point and medicinal selection for TCM point application in treating chronic obstructive pulmonary disease(COPD)by using data mining techniques.Methods The China National Knowledge Infrastructure(CNKI)and VIP Database were searched and articles on point application in treating COPD were retrieved to establish a database.Data mining techniques(frequency analysis,clustering analysis,association rules analysis,etc.)were applied to explore the regularity of point and medicinal selection.Results A total of 142 articles were retrieved,including 142 point pairs,40 points,124 medicinal groups,and 109 medicinals.The most common points were Feishu(BL 13),Dingchuan(EX-B 1),Shenshu(BL 23),Tiantu(CV 22),Pishu(BL 20);and the most common channel was the bladder channel.The core and most common medicinals were Bai Jie Zi,Xi Xin,Yan Hu Suo,Gan Sui and Sheng Jiang.The cluster analysis showed the three medicinal groups of high frequency and the analysis of association rules showed the three medicinals were Bai Jie Zi,Xi Xin and Yan Hu Suo.Conclusion For point application in treating COPD,the most common medicinals are acrid and warm in property,and the most common points are selected from the bladder channel,and it is treated from the lung,spleen and kidney.
Keywords:Chronic obstructive pulmonary disease  Point application  Data mining  Frequency analysis  Cluster analysis  Analysis of association rules
本文献已被 维普 等数据库收录!
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号