基于数据挖掘的中药治疗失眠伴抑郁、焦虑用药规律分析  

An analysis of medication rules of traditional Chinese medicines in the treatment of insomnia with depression and anxiety based on data mining

作　　者：王树鹏[1] 王恩龙[2] WANG Shupeng;WANG Enlong

机构地区：[1]辽宁中医药大学,辽宁沈阳110847 [2]辽宁中医药大学附属医院,辽宁沈阳110032

出　　处：《中医临床研究》2024年第30期107-111,共5页Clinical Journal Of Chinese Medicine

摘　　要：目的:运用数据挖掘技术分析中医药治疗失眠伴抑郁、焦虑的用药规律,为临床用药提供参考。方法:以中国知网、中国生物医学文献数据库(SinoMed)、万方数据库及维普中文科技期刊数据库收录的中药为数据来源,筛选近几年来与中医药治疗失眠伴抑郁、焦虑相关的临床期刊文献,将符合标准的文献信息录入Excel中,再利用SPSS Statistics 24.0、SPSS Modeler 18.0软件对数据进行关联规则分析和聚类分析。结果:共筛选出符合收录标准的文献73篇,涉及中药处方60首,中药133味,药物频次713次。药物的四气多以温(45次)、寒(43次)、平(26次)为主,五味多以甘(65次)、苦(53次)、辛(47次)为主。酸枣仁-郁金药物组合最多,柴胡-白芍-桂枝次之。聚类分析可将高频药物分为4类,第一类为煅龙骨、煅牡蛎、大枣、桂枝、黄芩、黄芪、党参、半夏、墨旱莲;第二类为白芍、柴胡、白术、当归、茯苓;第三类为茯神、黄连、麦冬、石膏、炙甘草;第四类为柏子仁、首乌藤、合欢皮、郁金、酸枣仁、远志、香附、牡丹皮、百合。结论:失眠伴抑郁、焦虑主要治法为疏肝解郁、宁心安神,治疗首选酸枣仁、柴胡、远志等药物。Objective: To analyze the medication rules of traditional Chinese medicines in the treatment of insomnia accompanied by depression and anxiety by data mining techniques, so as to provide reference for clinical medication. Methods: The Chinese medicines collected by CNKI, China Biomedical Literature Database(Sino Med), Wanfang Database and VIP Chinese Science and Technology Journal Database was used as the data source. Clinical journal literature related to TCM treatment of insomnia accompanied by depression and anxiety in recent years was screened, the literature information met the criteria was recorded into Excel, and the data was analyzed by association rules and cluster analysis using SPSS Statistics 24.0 and SPSS Modeler 18.0 software. Results: A total of 73 articles that met the inclusion criteria were selected, including 60 traditional Chinese medicine prescriptions, 133 traditional Chinese medicine flavors, and 713 drug frequencies. The four Qi( 气) of drugs were mainly warm(45 times), cold(43 times), and mild(26 times), while the five flavors were mainly sweet(65 times), bitter(53 times), and spicy(47 times). The medicine combination of Suanzaoren(sour jujube kernel) and Yujin(Turmeric Root-tuber) was the most common, which was followed by Chaihu(radix bupleuri)-Baishao(radix paeoniae alba)-Guizhi(cassia twig). Cluster analysis could classify high-frequency drugs into four categories. The first category included Duanlonggu(calcined ossa draconis), Duanmuli(calcined oyster), Dazao(jujube), Guizhi, Huangqin(scutellaria), Huangqi(Astragalus), Dangshen(Codonopsis), Banxia(pinellia) and Mohanlian(eclipta);The second category included Baishao Chaihu, Baizhu(Atractylodes rhizome), Danggui(Angelica) and Fuling(Poria);The third category included Fushen(poria with hostwood), Huanglian(Coptis chinensis), Maimendong(Radix ophiopogon), Shigao(gypsum), and Zhigancao(roasted licorice);The fourth category included Boziren(biota seed), Yejiaoteng(tuber fleeceflower stem), Hehuanpi(Cortex albiziae), Yujin, Suanzaoren, Yu

关 键 词：失眠伴抑郁、焦虑 中药 数据挖掘 用药规律 

分 类 号：R277.7[医药卫生—中医学]