摘要
目的:采用数据挖掘技术分析赵文海教授治疗早中期膝骨关节炎的用药规律。方法:收集近2年赵文海教授治疗早中期膝骨关节炎的门诊处方,采用Excel 2013、SPSS 25.0、SPSS Modeler 18.0软件构建数据库,进行高频药物分析、用药关联规则分析、聚类分析。结果:高频用药显示,205首处方中使用频次≥80的中药共22味。关联规则分析显示,五灵脂、水蛭为核心药对,同时挖掘出多组常用组合。聚类分析得出4类针对不同证型的常用组合。结论:通过数据挖掘技术较客观地分析出赵文海教授治疗早中期膝骨关节炎的用药规律。
Objective:To analyze professor ZHAO Wen-hai’s medication rule of treating knee osteoarthritis of early and middle stage using data mining technology.Methods:The outpatient prescriptions of professor ZHAO Wen-hai for the treatment of knee osteoarthritis of early and middle stage in recent two years were collected.The database was constructed by softwares Excel 2013,SPSS 25.0 and SPSS modeler 18.0 for high-frequency drug analysis,drug association rule analysis and cluster analysis.Results:High frequency medication showed that there were 22 traditional Chinese medicines with frequency no less than 80 in 205 prescriptions.Association rule analysis showed that Wulingzhi(Faeces Trogopterori)and leech were the core drug pair,and multiple groups of common combinations were excavated at the same time.Four kinds of common combinations for different syndrome types were obtained by cluster analysis.Conclusion:Through data mining technology,the medication rule of professor ZHAO Wen-hai in the treatment of knee osteoarthritis of early and middle stage has been analyzed.
作者
钟岩
雷雨擎
赵长伟
莫易方
赵文海
ZHONG Yan;LEI Yu-qing;ZHAO Chang-wei;MO Yi-fang;ZHAO Wen-hai
出处
《风湿病与关节炎》
2021年第8期24-27,共4页
Rheumatism and Arthritis
基金
第六批全国老中医药专家学术经验继承项目(国中医药人教发〔2017〕29号)
国家中医药管理局天池伤科流派工作室建设项目(第二轮建设)
吉林省发展和改革委员会产业技术研究与开发项目(2020C033-6)。
关键词
膝骨关节炎
早中期
天池伤科流派
数据挖掘
用药规律
赵文海
knee osteoarthritis
early and middle stage
Tianchi Traumatology School
data mining
medication rule
ZHAO Wen-hai