摘要
目的:基于数据挖掘分析中医古籍中治疗时行感冒(流感)的组方用药规律,为流感临床诊疗的处方用药及新药研发提供参考。方法:以“时行、时气、疫、瘟、温、疠”为检索词,检索收录了1156本中医古籍的《中华医典》(第五版)中的相关处方信息,根据制定的纳排标准筛选处方。对处方信息进行数据规范后,运用SPSS Modeler、Statistics等软件进行频数统计、关联规则分析、系统聚类分析。结果:共纳入211个处方信息,涉及176种中药,其中高频药物48味,频次较高的前10味中药是甘草、石膏、葛根、黄芩、麻黄、柴胡、桔梗、川芎、陈皮、前胡;药类以解表药、清热药、补虚药、化痰止咳平喘药、化湿药、理气药为主;关联规则分析得出高可信度且提升度大于3的关联规则共8条;系统聚类分析得出13组聚类方。结论:古籍中治疗时行感冒的处方蕴含了多种治法,包括解表、清热、散寒、祛风通痹、养阴清肺、益气健脾除湿、利水泄热、调和气血、宽胸理气止痛。
Objective:To analyze the medication rule of treating influenza in classical books of traditional Chinese medicine based on data mining,and to provide reference for medication and new drug development in clinical treatment of influenza.Methods:With“seasonal epidemic,epidemic,pestilence,warm disease,and plague”as the key words,the relevant prescription information was extracted from the Chinese Medical Classics(the fifth edition)which contains 1156 classical books of traditional Chinese medicine.The prescriptions for treating influenza were screened out according to the established standards of inclusion and exclusion.After normalization of the prescription data,SPSS Modeler and Statistics were employed to carry out frequency count,association rule analysis,and hierarchical cluster analysis.Results:A total of 211 prescriptions were included,involving 176 Chinese medicines,including 48 high-frequency ones.The top 10 Chinese medicines with high frequency were Glycyrrhizae Radix et Rhizoma,Gypsum Fibrosum,Puerariae Lobatae Radix,Scutellariae Radix,Ephedrae Herba,Bupleuri Radix,Platycodonis Radix,Chuanxiong Rhizoma,Citri Reticulatae Pericarpium,and Peucedani Radix.The main medicines were for releasing exterior,clearing heat,tonifying,resolving phlegm,relieving cough and asthma,resolving dampness,and regulating qi.The association rules analysis found out 8 medicine association rules with high confidence and lift above 3.The cluster analysis revealed 13 prescriptions.Conclusion:The prescriptions in classical books of traditional Chinese medicine contain a variety of therapies for influenza,including relieving exterior,clearing heat,dispelling cold,dispelling wind and relieving impediment,nourishing yin and clearing lung,replenishing qi and invigorating spleen,removing dampness,promoting urination and discharging heat,harmonizing qi and blood,smoothing chest,regulating qi and relieving pain.
作者
李云
张誉腾
李钰昕
张洪春
LI Yun;ZHANG Yuteng;LI Yuxin;ZHANG Hongchun(Beijing University of Chinese Medicine,Beijing 100029,China;Respiratory Center of China-Japan Friendship Hospital/Traditional Chinese Medicine Department of Pulmonary Diseases,National Clinical Research Center for Respiratory Disease,Beijing 100029,China)
出处
《世界中医药》
CAS
2022年第14期2041-2045,共5页
World Chinese Medicine
基金
中医药传承与创新“百千万”人才工程(岐黄工程)项目(2019-QTL-003)。
关键词
数据挖掘
中华医典
流行性感冒
时行感冒
用药规律
关联规则
系统聚类
Data mining
Chinese Medical Classics
Influenza
Seasonal cold
Medication rule
Association rules
Hierarchical clustering
