采用数据挖掘技术研究中医药治疗脂溢性脱发辨证思路与用药规律  

Research on Syndrome Differentiation and Medication Rules in Chinese Medicine Treatment of Seborrheic Alopecia Based on Data Mining Techniques

作　　者：郑文川 龚又明 邓广海 陈燕霞 ZHENG Wenchuan;GONG Youming;DENG Guanghai;CHEN Yanxia(Department of Pharmacy,The Second Affiliated Hospital of Guangzhou University of Chinese Medicine,Guangzhou Guangdong 510120,China)

机构地区：[1]广州中医药大学第二附属医院药学部,广东广州510120

出　　处：《新中医》2025年第7期7-12,共6页New Chinese Medicine

基　　金：广东省中医药局科研项目(20222068)。

摘　　要：目的:采用数据挖掘技术分析广州中医药大学第二附属医院中医药治疗脂溢性脱发的辨证思路与用药规律。方法:收集广州中医药大学第二附属医院皮肤科2023年9月1日—11月30日治疗脂溢性脱发的中药内服处方,使用Excel 2016及古今医案云平台软件,运用统计、关联规则、复杂网络分析等数据挖掘方法分析中医药治疗脂溢性脱发的用药规律。结果:共纳入处方371个,涉及中药347味,中药使用频次排前10的有茯苓、山药、松叶、甘草、女贞子、菟丝子、丹参、墨旱莲、蒲公英、生地黄等。中药药性以平为主;药味多属甘、苦、辛;主要归脾、肝、肾经。高频系统聚类分析得到4组中药,C1:山药、甘草、菟丝子;C2:茯苓、松叶、丹参、蒲公英、生地黄、女贞子、墨旱莲。C2可进一步分为C3与C4,C3:茯苓、松叶;C4:丹参、蒲公英、生地黄、女贞子、墨旱莲。关联分析得出常用药物组合有:墨旱莲-女贞子、松叶-茯苓、生地黄-女贞子、甘草-茯苓、丹参-茯苓等。复杂网络分析得到5组中医证候及其核心处方,肝肾不足证常用女贞子、墨旱莲、松叶、茯苓、山药、菟丝子、蒲公英、丹参、熟地黄等,肝肾阴虚证常用女贞子、墨旱莲、泽泻、茯苓、山药、生地黄等,脾肾不固证常用莲子、白术、茯苓、山药、菟丝子、甘草、松叶等,阴虚火旺证常用女贞子、茯苓、菟丝子、蒲公英、墨旱莲、生地黄、甘草等,脾虚湿热证常用茯苓、侧柏叶、蒲公英。结论:广州中医药大学第二附属医院中医药治疗脂溢性脱发以补益肝肾、养阴清热、健脾祛湿为主要治法,常以二至丸、七宝美髯丹、六味地黄汤、参苓白术散为基础方加减。Objective:To analyze the syndrome differentiation and medication rules in the treatment of seborrheic alopecia with Chinese medicine at the Second Affiliated Hospital of Guangzhou University of Chinese Medicine by data mining techniques.Methods:Collected internal Chinese medicine prescriptions for the treatment of seborrheic alopecia from the dermatology department of the Second Affiliated Hospital of Guangzhou University of Chinese Medicine,spanning from September 1,2023,to November 30,2023.Used Excel 2016 and the Ancient and Modern Medical Case Cloud Platform software and applied data mining techniques such as statistical analysis,association rules analysis,and complex network analysis to identify medication rules in the Chinese medicine treatment of seborrheic alopecia.Results:A total of 371 prescriptions were included,involving 347 different Chinese medicinals.The top 10 most frequently used Chinese medicinals were Poria,Dioscoreae Rhizoma,Chinese pine leaf,Glycyrrhizae Radix et Rhizoma,Ligustri Lucidi Fructus,Cuscutae Semen,Salviae Miltiorrhizae Radix et Rhizoma,Ecliptae Herba,Taraxaci Herba,Rehmanniae Radix etc.The natures of the herbs were mainly neutral;the flavors were mostly sweet,bitter,and acrid;they primarily entered the spleen,liver,and kidney meridians.High-frequency system cluster analysis identified four groups of Chinese medicinals,namely C1:Dioscoreae Rhizoma,Glycyrrhizae Radix et Rhizoma,and Cuscutae Semen;C2:Poria,Chinese pine leaf,Salviae Miltiorrhizae Radix et Rhizoma,Taraxaci Herba,Rehmanniae Radix,Ligustri Lucidi Fructus,and Ecliptae Herba.C2 can be further divided into C3 and C4,that is,C3:Poria and Chinese pine leaf;C4:Salviae Miltiorrhizae Radix et Rhizoma,Taraxaci Herba,Rehmanniae Radix,Ligustri Lucidi Fructus,and Ecliptae Herba.Association analysis revealed common herb combinations such as Ecliptae Herba-Ligustri Lucidi Fructus,Chinese pine leaf-Poria,Rehmanniae Radix-Ligustri Lucidi Fructus,Glycyrrhizae Radix et Rhizoma-Poria,and Salviae Miltiorrhizae Radix et Rhizoma-Poria.Complex

关 键 词：脂溢性脱发 用药规律 数据挖掘 二至丸 七宝美髯丹 六味地黄汤 参苓白术散 

分 类 号：R275.9[医药卫生—中西医结合]