Study on the Medication Rules of Traditional Chinese Medicine Prescriptions for the Treatment of New Crown Pneumonia Based on Data Mining Technology  

作　　者：Ya CHEN Xiangling QU Yuling LUO Yuanfeng YANG Yongming CHEN Yongyue GAO 

机构地区：[1]School of Pharmacy,Guizhou University of Traditional Chinese Medicine,Guiyang 550025,China [2]Department of Pharmacy,the Second Affiliated Hospital of Guizhou University of Traditional Chinese Medicine,Guiyang 550003,China

出　　处：《Agricultural Biotechnology》2024年第5期55-62,共8页农业生物技术（英文版）

基　　金：Supported by Public Health and Epidemic Prevention and Control Project of Guiyang Bureau of Science and Technology([2022]-4-4-5);Guizhou Provincial Key Discipline of Traditional Chinese Medicine and Ethnic Medicine:Clinical Traditional Chinese Medicine(QZYYZDXK(JS)-2023-04).

摘　　要：[Objectives]This study was conducted to analyze the medication rules of clinical prescriptions of traditional Chinese medicine decoction pieces for the treatment of novel coronavirus pneumonia(COVID-19)during the epidemic in multiple regions based on data mining technology,so as to provide a reference for the treatment of COVID-19 with traditional Chinese medicine.[Methods]The traditional Chinese medicine prescriptions used since the outbreak of COVID-19 in Hubei Province during the fight against the epidemic from February 25,2020 to February 14,2022,the traditional Chinese medicine prescriptions used by Guizhou traditional Chinese medicine expert team aiding Hubei Province,the traditional Chinese medicine prescriptions for rehabilitation and conditioning of patients in Ezhou of Hubei Province after discharge,the traditional Chinese medicine prescriptions for the prevention and treatment of COVID-19 in Guizhou Province,and the traditional Chinese medicine prescriptions for the treatment of COVID-19 collected from the end of 2019 to the present from the Chinese database of CNKI were collected as the data of this study.Excel was used to establish a database and enter it into the TCM inheritance calculation platform V3.5,and the association rules and k-means clustering algorithm were used to analyze the frequency of herbal medicines in prescriptions during the treatment of COVID-19,the frequency of four natures,five flavors,meridian distribution,and drug combinations.[Results]A total of 1859 COVID-19 patients treated with traditional Chinese medicine were included,and the proportion of males was higher than that of females,and middle-aged and elderly people were the most common group.A total of 2170 prescriptions of traditional Chinese medicine were included,involving a total of 383 traditional Chinese medicines.High-frequency medicines included poria,Radix Bupleuri,Radix Scutellariae,Herba Pogostemonis,Fructus Forsythiae,Flos Loniceraeetc.The four natures were mainly concentrated in cold,warm and neutral,and the fi

关 键 词：Medicinal herb Medication rule COVID Association rule Cluster analysis 

分 类 号：R563.1[医药卫生—呼吸系统]