基于数据挖掘探讨古代中医文献辨治抽动秽语综合征用药规律  

Exploration on the medication law in the treatment of gilles de la Tourette syndrome in ancient TCM books based on data mining

作　　者：陈俊伟 张楚楚 李海燕[3] 王东笛 王仲易[1] 李斌[2] Chen Junwei;Zhang Chuchu;Li Haiyan;Wang Dongdi;Wang Zhongyi;Li Bin(Department of Pediatrics,Beijing Hospital of Traditional Chinese Medicine,Capital Medical University,Beijing 100010,China;R&D Department of Special Collection ResourcesInstitute of Information on Traditional Chinese Medicine,China Academy of Chinese Medical Sciences,Beijing 100700,China;Institute of Information on Traditional Chinese Medicine,China Academy of Chinese Medical Sciences,Beijing 100700,China)

机构地区：[1]首都医科大学附属北京中医医院儿科,北京100010 [2]中国中医科学院中医药信息研究所特藏资源研发部,北京100700 [3]中国中医科学院中医药信息研究所,北京100700

出　　处：《国际中医中药杂志》2024年第12期1636-1641,共6页International Journal of Traditional Chinese Medicine

基　　金：中国中医科学院科技创新工程(CI2021A03708);首都医科大学附属北京中医医院院级课题(LYYB202301);中国中医科学院基本科研业务费自主选题(ZZ140314)。

摘　　要：目的运用数据挖掘方法探讨中医古籍中抽动秽语综合征(TS)的用药规律。方法检索中医古籍数据库国医典藏4.0与《中华医典》5.0中肝风、抽搐、惊风、慢惊风、瘛疭、筋惕肉瞤、慢脾风等TS相关疾病信息,采用Excel 2022软件录入各病症的主要症状、病因病机、治法及方剂,对用药频次、性味、归经和功效进行分析;采用Gephi 0.9.2软件对中药数据进行复杂网络分析,找出核心药物;采用SPSS Statistic 25.0软件对高频中药(频次排名前50位)进行聚类分析;采用SPSS Modeler 14.2软件,基于Apriori算法对高频中药进行关联规则分析。结果共纳入古方692首,涉及中药436味,其中频次排名前5位中药依次为全蝎、朱砂、麝香、白附子、天麻;用药药性以寒性居多,药味以辛味为主,归经主入肝、脾、心经。核心药物为僵蚕、半夏和甘草。系统聚类分析可分为8类。关联分析可知,全蝎→僵蚕-朱砂支持度最高;朱砂→牛黄-麝香-全蝎置信度最高。结论古代医家认为,TS相关疾病病位以肝、心、脾、肾为主,致病因素以风、火、痰、瘀、虚为主,处方药物用虫蛇类以搜风剔邪、金石类以重镇安神息风、草木类以疏风清热平肝祛痰。Objective To explore the medication law of gilles de la Tourette syndrome(TS)in ancient TCM books through data mining.Methods TS related disease information was searched by searching Chinese Medicine Collection Database 4.0 and Chinese Medical Classics 5.0 about liver wind,convulsion,infantile convulsion,slow infantile convulsion,Chi Zong,Jin Ti Rou Yu,chronic spleen wind.Excel 2022 software was used to input the main symptoms,etiology and pathogenesis,treatment methods and prescriptions of each disease,and the frequency,property and taste,meridian tropism and efficacy of medication were analyzed.Gephi 0.9.2 software was used to analyze the complex network of Chinese materia medica data to find out the core drugs.SPSS Statistic 25.0 software was used for clustering analysis of high-frequency Chinese materia medica(top 50 in frequency).SPSS Modeler 14.2 software was used to analyze the association rules of high-frequency Chinese materia medica based on Apriori algorithm.Results Totally 692 ancient prescriptions were included,involving 436 kinds of Chinese materia medica.The top five in terms of frequency were:Scorpio,Cinnabaris,Moschus,Typhonii Rhizoma,Gastrodiae Rhizoma appeared the most frequently.The main property was cold,the main taste was pungent,and mainly into the liver,spleen,and heart meridians;the core drugs were Bombyx Batryticatus,Pinelliae Rhizoma,and Glycyrrhizae Radix et Rhizoma.Clustering analysis could be divided into 8 categories.Correlation analysis showed that Scorpio→Bombyx mori Linnaeus and Cinnabaris had the highest support,while Cinnabaris→Bovis Calculus→Moschus→Scorpio had the highest confidence.Conclusions Ancient doctors believed that the disease location of TS-related diseases are mainly liver,heart,spleen and kidney,and the pathogenic factors were mainly wind,fire,phlegm,blood stasis and deficiency.The insect snakes used in prescription drugs are used to search for wind and eliminate pathogenic factors,the epigraphy is used to calm the nerves and calm the wind,and the herbs ar

关 键 词：多动秽语综合征 肝风 抽搐 慢脾风 数据挖掘 

分 类 号：R277.7[医药卫生—中医学]