摘要
目的采用数据挖掘技术对中医辨治骨肉瘤的处方及方剂进行解构,进而总结用药与组方规律。方法采用多源数据库数据采集方式,建立骨肉瘤方药数据库,运用频数分析、关联规则分析、K-means聚类分析进行数据挖掘。结果本研究涉及处方45首,药物185种,高频次药物为黄芪、甘草、熟地黄、白芍、茯苓、当归、白术、山药、补骨脂、党参;规则结果显示,主要关联药物为黄芪、熟地黄、当归、白术;药物K-means聚类10类。结论骨肉瘤中医药治疗的核心组方为黄芪、熟地黄、当归和白术,用药规律主要以补益气血,健脾益肾,行气和血,化痰解毒为主,组方规律以固本清源为治则,固本以脾肾为重,清源以多法合用。
Objective To use data mining techniques to deconstruct the prescriptions and formulas for the differentiation and treatment of osteosarcoma in traditional Chinese medicine,and then summarize the rules of medication and formulation.Methods A multi-source database data collection method was used to establish a database of osteosarcoma prescriptions and medicines.Frequency analysis,association rule analysis,and K-means clustering analysis were used for data mining.Results This study involved 45 prescriptions and 185 types of drugs,with high-frequency drugs including Astragalus membranaceus,Glycyrrhiza uralensis,Rehmannia glutinosa,Paeonia lactiflora,Poria cocos,Angelica sinensis,Atractylodes macrocephala,Chinese yam,Fructus Psoraleae,and Codonopsis pilosula;The rule results show that the main associated drugs are Astragalus membranaceus,Rehmannia glutinosa,Angelica sinensis,and Atractylodes macrocephala;Drug K-means clustering of 10 categories.Conclusion The core formula for traditional Chinese medicine treatment of osteosarcoma is Astragalus membranaceus,Rehmannia glutinosa,Angelica sinensis,and Atractylodes macrocephala.The medication pattern mainly focuses on tonifying Qi and blood,strengthening spleen and kidney,promoting Qi and blood circulation,resolving phlegm and detoxifying.The formula pattern is based on consolidating the root and clearing the source,with spleen and kidney as the main focus,and multiple methods combined for clearing the source.
作者
赵一帆
朱青
朱垚
陆明
ZHAO Yifan;ZHU Qing;ZHU Yao;LU Ming(Nanjing University of Chinese Medicine,Nanjing 210046,China;Medical Department of Hubei University for Nationalities,Hubei Enshi 445000,China)
出处
《陕西中医药大学学报》
2024年第2期27-33,共7页
Journal of Shaanxi University of Chinese Medicine
基金
国家中医药管理局建设项目(国中医药人教发[2010]59号)
江苏省六大人才高峰项目(RJFW-40)
江苏省“333高层次人才培养工程”(2018III-0121)
江苏省科技型企业技术创新资金(BC2015022)
南京中医药大学横向课题(2019035,2019010)
南京中医药大学中医学品牌专业建设2017年度教学改革研究课题(NZYZYXPPJH2017-04)
南京健康广场健康产业开放课题(NJJKGC202204)。
关键词
数据挖掘
中医药
骨肉瘤
关联分析
K均值聚类
Data mining
Traditional Chinese Medicine
Osteosarcoma
Correlation analysis
K-means clustering
