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基于数据挖掘的中医药治疗新型冠状病毒肺炎用药规律研究 被引量:40

Study on medication regularity of traditional Chinese medicine in treatment of COVID-19 based on data mining
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摘要 新型冠状病毒肺炎(COVID-19)疫情发展迅速,危害严重,目前尚无特效药,而中医药在此疫情中发挥了积极的作用。该研究通过收集国家、各省、自治区和直辖市发布的诊疗方案,及中国知网、万方、维普三大数据库相关文献报道,全面系统整理现代中医治疗COVID-19的处方,并通过中医传承辅助平台V2.5,确定处方中用药的四气、五味、归经、使用频次、药物之间的关联规则及形成的新处方等。最终纳入有效处方96首,其中四气主要集中在温、寒、平,五味主要集中在苦、辛、甘,归经主要集中在肺、胃、脾经;使用高频次药物为甘草、杏仁、生石膏等;高频次药物组合为生石膏-杏仁,生石膏-甘草,甘草-杏仁等;核心组合有葶苈子-杏仁-生石膏,藿香-生姜-厚朴,麦冬-杏仁-黄芩等;形成新处方葶苈子、杏仁、生石膏、藿香、生姜、厚朴,麦冬、杏仁、黄芩、五味子、西洋参等。从药性到高频药物及新处方可以看出,我国现代中医治疗COVID-19的整体治则为扶正祛邪,兼顾气阴。 The coronavirus disease 2019(COVID-19)is developing rapidly and posing great threat to public health.There is no specific medicine available for treating the disease.Luckily,traditional Chinese medicine has played a positive role in the fighting against COVID-19.In this paper,We collected and sorted the prescriptions of modern Chinese medicine for COVID-19 released by national government,different provinces,autonomous regions and municipalities,as well as online databases,such as CNKI,WanFang medical network,and VIP database.These prescriptions were combined with the inheritance of traditional Chinese medicine auxiliary V2.5,and the complex system entropy clustering method was used to determine the association rules and frequency of single drug and drug combination in the prescription.In the end,96 effective prescriptions were included.Among them,the four properties were mainly concentrated in temperature,cold and level,the five tastes were mainly concentrated in bitter,hot and sweet,and the meridians were mainly concentrated in lung,stomach and spleen.The high-frequency drugs were Glycyrrhizae Radix et Rhizoma,Armeniacae Semen Amarum,Gypsum Fibrosum,etc.,and the high-frequency combinations are Gypsum Fibrosum-Armeniacae Semen Amarum,Gypsum Fibrosum-Glycyrrhizae Radix et Rhizoma,Armeniacae Semen Amarum-Glycyrrhizae Radix et Rhizoma,the core combinations are Lepidii Semen-Armeniacae Semen Amarum-Gypsum Fibrosum,Pogostemonis Herba-Zingiberis Rhizoma Recens-Magnoliae Officinalis Cortex,Ophiopogonis Radix-Armeniacae Semen Amarum-Scutellariae Radix and so on.Form new prescriptions Lepidii Semen,Armeniacae Semen Amarum,Gypsum Fibrosum,Pogostemonis Herba,Zingiberis Rhizoma Recens,Magnoliae Officinalis Cortex.Ophiopogonis Radix,Armeniacae Semen Amarum,Scutellariae Radix,Schisandrae Sphenantherae Fructus,Panacis Quinquefolii Radix.From the medicinal properties to high-frequency drugs and new prescriptions,it could be seen that the overall treatment of COVID-19 by traditional Chinese medicine was to strengthen body resistance,eliminate pathogenic factors,and give attention to Qi and Yin.
作者 周政 朱春胜 张冰 ZHOU Zheng;ZHU Chun-sheng;ZHANG Bing(The First Affiliated Hospital of Zhengzhou University,Zhengzhou 450000,China;Beijing University of Chinese Medicine,Beijing 100102,China)
出处 《中国中药杂志》 CAS CSCD 北大核心 2020年第6期1248-1252,共5页 China Journal of Chinese Materia Medica
基金 国家中医药管理局-国家中医药领军人才支持计划“岐黄学者”项目(10400633210004) 第三批国家高层次人才特殊支持计划(万人计划)教学名师项目。
关键词 数据挖掘 新型冠状病毒肺炎 新型冠状病毒 关联规则 聚类算法 data mining coronavirus disease 2019(COVID-19) 2019-nCoV association rules clustering algorithm
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