首页|基于数据挖掘技术探究中药复方治疗肝纤维化的用药规律

基于数据挖掘技术探究中药复方治疗肝纤维化的用药规律

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目的:运用数据挖掘技术研究中药复方治疗肝纤维化的用药规律,以期为肝纤维化临床治疗提供指导和参考.方法:以肝纤维化为主题,收集、整理中国知网、万方数据库、维普中文科技期刊数据库收录的文献为本研究数据来源,建立数据库,采用Excel 2019、SPSS Statistics 22.0和IBM SPSS Modeler 18.0软件进行频次分析、关联规则分析、因子分析和系统聚类分析,对符合本研究纳入标准的复方进行数据挖掘.结果:在符合纳入标准的134个中药复方中,涉及159味中药,总用药频次为1437次.使用频次≥10次的中药有31味,最常用的单味中药是丹参;四气以寒、温为主,五味以苦、甘、辛味居多,药物归经多归于肝经、脾经,用药频次分析提示排名前3位的药物类别为补虚药、活血化瘀药、清热药.关联规则分析表明,关联强度最高的药对组合有8组,因子分析提取11个公因子,系统聚类分析归为6大类,复杂网络分析得出核心处方为丹参、赤芍、鳖甲、黄芪、白术、白芍、柴胡、当归.结论:中医药治疗肝纤维化的基本治法为活血化瘀、理气扶正、清热利湿,核心处方对中医药治疗肝纤维化遣方用药具有借鉴意义.
Exploration of the medication rules of Chinese herbal compound in the treatment of hepatic fibrosis based on data mining technology
Objective:To study the medication rules of Chinese herbal compound in the treatment of hepatic fibrosis by data mining technology,in order to provide guidance and reference for the clinical treatment of hepatic fibrosis.Meth-ods:On the topic of hepatic fibrosis,the literature included in China National Knowledge Infrastructure(CNKI),Wanfang Database and VIP Chinese Science and Technology Journal database were collected and sorted out as the data source of this study,and a database was established.Excel 2019,SPSS Statistics 22.0 and IBM SPSS Modeler 18.0 software were used for frequency analysis,association rule analysis,factor analysis and systematic cluster analysis.Data mining was carried out for the compounds that met the inclusion criteria of this study.Results:Among the 134 Chinese herbal compounds that met the inclusion criteria,159 Chinese herbs were involved,and the total frequency of administration was 1437 times.There were 31 Chinese herbs used more than or equal to 10 times,and the most commonly used single herb was Danshen.The four na-tures were mainly cold and warm,the five flavors were mostly bitter,sweet and pungent,and the herbs were mostly attrib-uted to the liver and spleen channels.The analysis of drug frequency indicated that the top 3 drug categories were deficiency-tonifying drugs,blood-activating drugs for removing blood stasis drugs and heat-clearing drugs.Association rule analysis showed that there were 8 groups of couplet medicines with the highest association strength,11 common factors were extracted by factor analysis,and 6 categories were classified by systematic cluster analysis.The complex network analysis showed that the core prescription was Danshen,Chishao,Biejia,Huangqi,Baizhu,Baishao,Chaihu and Danggui.Con-clusion:The basic treatment methods of TCM for hepatic fibrosis are promoting blood circulation and removing blood sta-sis,regulating Qi and strengthening healthy Qi,and clearing heat and removing dampness.The core prescription has refer-ence significance for TCM treatment of hepatic fibrosis.

hepatic fibrosisChinese herbsmedication rulesassociation rulesfactor analysiscluster analysis

魏涛华、钱南南、宋宇琪、郝文杰、杨玉龙、杨悦、杨文明

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安徽中医药大学第一附属医院,安徽 合肥 230006

新安医学教育部重点实验室,安徽 合肥 230038

肝纤维化 中药 用药规律 关联规则 因子分析 聚类分析

国家自然科学基金资助项目国家自然科学基金资助项目国家自然科学基金资助项目第七批全国老中医药专家学术经验继承项目杨文明全国名老中医药专家传承工作室安徽省自然科学基金青年项目安徽省高校自然科学基金重点项目安徽中医药大学青年科技英才培育项目安徽中医药大学新安医学教育部重点实验室开放基金项目

82305185U22A2036681973825国中医药人教函[2022]76号2108085QH367KJ2021A05552021qnyc082020xayx12

2024

山西中医药大学学报

山西中医药大学学报

ISSN:
年,卷(期):2024.25(7)