目的 应用数据挖掘方法探讨全国各省市地区运用传统中医药方法治疗新型冠状病毒肺炎（COVID-19）治疗期的中药用药规律，以期为临床治疗新型冠状病毒肺炎（COVID-19）治疗期提供详细信息和治疗参考。方法 收集2019年12月至2020年12月中国知网、万方、维普三大数据库相关文献报道，以及国家、各省、自治区、直辖市卫健委通过官网发布的中医诊疗方案，采用Excel建立数据库并录入古今医案云平台（V2.2.1），采用系统集成的统计分析、聚类分析、复杂网络分析等方法，分析COVID-19治疗期处方的中药用药频次、药对关联、药物属性（包括药味、药性、归经）、药物功效、聚类处方等，运用图表等形式对中药处方数据分析结果进行直观的展示，并对其轻症、重症处方的中药的用药频次、药物属性（包括药味、药性、归经）、药物功效进行对比。结果 经过筛选后，纳入中药处方78个，涉及的中药总数144味，总处方用药频1022次；功效267个，总功效频次2897次；药性9种，总频次906次；药味10种，总频次1434次；12经总频次2162次。聚类处方治疗期中药用药频次排名前10的中药：①杏仁、麻黄、甘草、黄芩、石膏；②半夏、陈皮、苍术、草果、藿香；治疗期轻症中药用药种类为116种，总用药频次为674次，用药频次较高的为杏仁、甘草、黄芩；重症中药用药种类为95种，总用药频次为351次，用药频次较高的有甘草、杏仁、石膏。结论 运用古今医案云平台（V2.2.1）分析数据，以图表文字相结合展示中医药治疗COVID-19治疗期的中药具体用药规律，并对治疗期轻症及重症用药进行对比，为临床上指导治疗COVID-19提供一定的参考作用。

Objective To explore the rule of Chinese materia medica in the treatment of COVID-19 in various provinces and regions of China by data mining method, so as to provide detailed information and treatment reference for the clinical treatment of COVID-19.Methods Relevant literature reports on the three major databases of CNKI, Wanfang, and VIP from December 2019 to December 2020 were collected, as well as the TCM diagnosis and treatment plans issued by the national, provincial, autonomous region, and municipal health commissions through the official website, and Excel was used to establish the database to enter into the ancient and modern medical records cloud platform (V2.2.1). The system integrated statistical analysis, cluster analysis, complex network analysis and other methods were used to analyze the frequency of traditional Chinese medicine prescriptions during the treatment period of COVID-19, herb pair correlation, and herb attributes (including flavors, properties, channel tropism), actions, clustering prescriptions, etc. The charts and other forms were used to visually display the results of TCM prescription data analysis, and the frequency and drug attributes of TCM prescriptions for mild and severe cases (including flavors, properties, channel tropism), and actions were compared.Results After screening, 78 Chinese medicine prescriptions were included, involving a total of 144 Chinese medicines, with a total frequency of 1,022; 267 actions with a total frequency of 2897; 9 kinds of medicinal properties with a total frequency of 906; 10 kinds of medicinal flavors with a total frequency 1434 times; the total frequency of 12 channels was 2162 times. The top 10 traditional Chinese medicines used in the cluster prescription treatment period: ①Semen Armeniacae Amarum, Herba Ephedrae, Radix Glycyrrhizae, Radix Scutellariae, Gypsum Fibrosum; ②Rhizoma Pinelliae, Pericarpium Citri Reticulatae, Rhizoma Atractylodis, Fructus Tsaoko, and Herba Pogostemonis; there were 116 kinds of mild Chinese medicines in the treatment period, and the total frequency of medication was 674 times, among which Semen Armeniacae Amarum, Radix Glycyrrhizae and Radix Scutellariae were used with higher frequency; 95 kinds of severe Chinese medicine were used, and the total frequency of medication was 351 times. The higher frequency of medication was Radix Glycyrrhizae, Semen Armeniacae Amarum and Gypsum Fibrosum.Conclusion The ancient and modern medical case cloud platform (V2.2.1) was used to analyze the data, and the combination of charts and texts was used to show the specific rules of traditional Chinese medicine in the treatment of COVID-19 during the treatment period. The use of mild and severe herbs during the treatment period is compared, which provides a certain reference for guiding the clinical treatment of COVID-19.

山东省卫生健康委员会中医流派传承项目（鲁卫函[2020]132号）：齐鲁医派中医学术流派传承项目，负责人：杨继国。