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基于数据挖掘探析古代肝脏占位性病变用药规律 被引量:1

Analysis of the Rule of Drug Use in Ancient Liver Occupying Lesions Based on Data Mining
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摘要 目的挖掘分析古代治疗肝脏占位性病变的用药特色和组方规律。方法选取中华医典5.0系统中治疗肝脏占位性病变的医案及用药,利用Excel软件建成"肝脏占位性病变古方用药"数据库,并运用统计软件SPSS Statistics23.0及数据挖掘软件SPSS Modeler15.0 软件,对数据进行频数统计、关联规则、聚类分析结果。结果纳入107例医案,确定了高频中药有陈皮、茯苓、青皮、白术、白芍、香附、当归等38味,常用药对14个,高频药物之间的关联规则系统聚类6个。结论通过对中华医典的挖掘,能较全面的阐释古代医家治疗肝脏占位性病变的组方用药经验,对现代遣方用药有借鉴意义。 Objective:To analyze the characteristics of drug use and the prescription of ancient treatment of hepatic space-occupying lesions.Methods:The medical records and medications for the treatment of hepatic space-occupying lesions were selected in the Chinese Medical Code 5.0 system.Using Excel software to build a database of"ancient drug for liver occupying lesions".The statistical software SPSS Statistics23.0 and the data mining software SPSS Modeler15.0 software are used to perform frequency statistics,association rules and cluster analysis results.Results:107 cases were included,It has been determined that high-frequency Chinese medicine has 38 flavors such as dried tangerine peel,medlar,green skin,Atractylodes,white peony,fragrant,and angelica.14 commonly used drugs,The association rules between high-frequency drugs are clustered by six systems.Conclusion:Through the excavation of Chinese medical code,it can comprehensively explain the experience of ancient medical doctors in the treatment of hepatic space-occupying lesions,which can be used for reference in modern repatriation.
作者 洪晓华 荣震 杨梦娜 唐翠娟 莫春梅 HONG Xiaohua;RONG Zhen;YANG Mengna;TANG Cuijuan;MO Chunmei(Guangxi University of Chinese Medicine,Nanning 530023,Guangxi,China;The First Affiliated Hospital of Guangxi University of Chinese Medicine,Nanning 530023,Guangxi,China)
出处 《辽宁中医药大学学报》 CAS 2020年第1期121-124,共4页 Journal of Liaoning University of Traditional Chinese Medicine
基金 国家自然科学基金地区基金(81760850) 广西高校中青年教师基础能力提升项目(2018KY0282).
关键词 肝脏占位性病变 古代 用药规律 数据挖掘 肝癌 liver occupying lesions ancient medication rule data mining liver cancer
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