基于数据挖掘的重症流感样病例的中医用药规律研究  

Study on Medication Regularity of Traditional Chinese Medicine in Cases of Severe Influenza based on Data Mining

作　　者：李悦[1] 李萌[2] 王学岭[1] 孙颖[1] 常淑枫[1] Li Yue;Li Meng;Wang Xueling;Sun Ying;Chang Shufeng(Tianjin University of Traditional Chinese Medicine,Tianjin 300193,China;Institute of Information on Traditional Chinese Medicine,China Academy of Chinese Medical Sciences,Beijing 100700,China)

机构地区：[1]天津中医药大学,天津301617 [2]中国中医科学院中医药信息研究所,北京100700

出　　处：《世界科学技术-中医药现代化》2020年第11期4039-4043,共5页Modernization of Traditional Chinese Medicine and Materia Medica-World Science and Technology

基　　金：天津市教育委员会科研计划项目(2017KJ161):基于数据挖掘的重症流感中医证治规律研究,负责人:李悦。

摘　　要：目的挖掘分析中医治疗重症流感样病例的用药规律,为临证提供参考。方法通过收集重症流感样病例的医案,分析其处方的中药频数、药物组合、关联规则,总结用药规律。结果高频用药为甘草、杏仁、连翘、黄芩等,2味药的高频药物组为杏仁-甘草、黄芩-甘草、连翘-杏仁、麻黄-甘草等,3味药的高频药物组为麻黄-杏仁-甘草、金银花-连翘-甘草、石膏-麻黄-杏仁、石膏-杏仁-甘草等。互相关联的药物主要构成5组:①桔梗、甘草、五味子、生姜、细辛、麻黄、石膏;②忍冬藤、海浮石、桑叶、赤芍;③桂枝、前胡、麻黄、陈皮、半夏、桔梗、薄荷、茯苓;④橘红(陈皮)、桔梗、赤芍、半夏、连翘、桂枝、紫苏、甘草、荆芥;⑤前胡、旋复花、半夏、厚朴、杏仁、葶苈子。结论重症流感样病例用药主要有清热类、止咳化痰类、解表类;关联的药物组以解表、通络、清热、化痰(饮)治法常见,通过数据挖掘可以得出用药规律,为临床用药提供依据。Objective To explore and analyze the medication rule or traditional Chinese medicine(TCM) in the treatment of severe influenza, so as to provide references for future clinical practice. Methods The frequency of medicinals, combinations of medicinals, and association rules were analyzed through collected data of severe influenza cases to summarize the medication regularity. Results High frequency herbs are Radix Glycyrrhizae, Semen Armeniacae Amarum, Fructus Forsythiae, Radix Scutellariae, etc. High frequency two-herb-groups are Semen Armeniacae AmarumRadix Glycyrrhizae, Radix Scutellariae-Radix Glycyrrhizae, Fructus Forsythiae-Semen Armeniacae Amarum, Herba Ephedrae-Radix Glycyrrhizae, etc. High frequency three-herb-groups are Herba Ephedrae-Semen Armeniacae AmarumRadix Glycyrrhizae, Flos Lonicerae-Fructus Forsythiae-Radix Glycyrrhizae, Gypsum Fibrosum-Herba Ephedrae-Semen Armeniacae Amarum, Gypsum Fibrosum-Semen Armeniacae Amarum-Radix Glycyrrhizae, etc. According to the results of association analysis, five groups can be extracted, in each group herbs associate with each other: ①Radix Platycodonis,Radix Glycyrrhizae, Fructus Schisandrae Chinensis, Rhizoma Zingiberis Recens, Herba Asari, Herba Ephedrae, Gypsum Fibrosum. ② Caulis Lonicerae, Costaziae Os, Folium Mori, Radix Paeoniae Rubra. ③ Ramulus Cinnamomi, Radix Peucedani, Herba Ephedrae, Pericarpium Citri Reticulatae, Rhizoma Pinelliae, Radix Platycodonis, Herba Menthae,Poria. ④Exocarpium Citri Rubrum(Pericarpium Citri Reticulatae), Radix Platycodonis, Radix Paeoniae Rubra, Rhizoma Pinelliae, Fructus Forsythiae, Ramulus Cinnamomi, Caulis Perillae, Radix Glycyrrhizae, Herba Schizonepetae. ⑤Radix Peucedani, Inula japonica Thunb, Rhizoma Pinelliae, Cortex Magnoliae Officinalis, Semen Armeniacae Amarum, Semen Descurainiae. Conclusion The main herbs to treat severe influenza cases belong to heat-clearing medicinals, coughrelieving and phlegm-resolving medicinals, and superficies-releasing medicinals. The main therapeutic methods are releasing superficies

关 键 词：数据挖掘 重症流感 中医 用药规律 

分 类 号：R259[医药卫生—中西医结合]