基于数据挖掘的抗流感病毒中药用药规律研究

Study on the Law of Using Anti-influenza Virus Traditional Chinese Medicine Based on Data Minin

目的采用数据挖掘中关联规则和聚类分析技术,分析中药抗流感病毒的用药规律。方法汇总抗流感病毒中药专利、经典古方、已上市中成药所包含的中药,采用Excel进行频数分析,SPSS Clementine 12.0进行关联规则分析,SPSS Statistics 27.0进行聚类分析。结果汇总得到221味中药,甘草、金银花、连翘、石膏等为高频使用中药;药性主要为寒、温;药味主要为苦、辛;归经主要归肺经、心经;功效主要为清热类、解表类;关联规则共得到11组核心药物组合;聚类分析共聚5类。结论抗流感病毒治疗中医辨证常为“温病”,组方具有一定规律性,对中医药诊疗和新药研发有一定意义。

OBJECTIVE To investigate the drug use of traditional Chinese medicine(TCM)against influenza virus in data mining by association rule and cluster analysis.METHODS The traditional Chinese medicine patents,classical ancient remedies and proprietary Chinese medicine prescriptions for anti-influenza virus were summarized.Excel was used for frequency analysis,SPSS Clementine 12.0 was used for association rules and SPSS Statistics 27.0 was used for cluster analysis.RESULTS A total of 221 TCM were obtained.Licorice,honeysuckle,forsythia and gypsum were used frequently.The medicinal properties were mainly cold and warm.The main medicinal taste was bitter and xin.The meridian tropism was mainly to the lung meridian,heart meridian.The main effect was heat clearing class,solving table class.The association rules were used to get 1l core drug combinations.5 types of cluster analysis were obtained.CONCLUSION Studies have proved that the treatment of influenza virus is often"warm disease"in TCM syndrome differentiation,and the formulation has certain regularity,which has certain significance for TCM diagnosis and treatment and new drug research and development.