基于数据挖掘的《瘟疫论》《广瘟疫论》用药规律分析

Analysis of Prescription Rule in Wenyilun and Guangwenyilun Based on Data Mining

探讨《瘟疫论》《广瘟疫论》中治疗瘟疫用药规律,将书中涉及的处方录入Microsoft Excel 2010建立数据库,对各单味药进行频次、类别的统计。使用IBM SPSS Statistics 25软件对高频中药进行因子分析。共包含处方97例,113种中药,单味药甘草、生姜、芍药使用频率最高,中药类别中补虚药、清热药、解表药使用频率最高。因子分析共提取出7个公因子,载荷最高的为当归。常用药对为:芍药-当归-生姜、生姜-黄芩-大枣、甘草-茯苓-生姜。结合当下2019年新型冠状病毒肺炎疫情,初期可用解表药:麻黄、陈皮、厚朴、藿香等;中期可用清热药:石膏,知母,大黄等;重症期可用人参,山茱萸;后期可用补虚药和半夏,陈皮等。

In this paper, we discussed the prescription rule for treating plague in the book Wenyilun and Guangwenyilun. Then microsoft excel 2010 was used to establish a database to count the frequency and category of each single drug. IBM SPSS Statistics 25 software was used to do factor analysis of the traditional Chinese medicine that was frequently used in these prescriptions. 97 compounds and 113 TCM herbs were analyzed, TCM herbs with the highest usage frequency were licorice, ginger and peony. According to the analysis of the type, the highest usage frequency were "Buxu", "Qingre" and "Jiebiao" drugs. A total of 7 common factors were extracted by factor analysis, and the highest load was Angelica sinensis. Drug pairs frequently used were: Chinese herbaceous peony-Angelica sinensis-Zingiber officinale Roscoe, Zingiber officinale Roscoe-Radix Scutellariae-Fructus jujubae, and Glycyrrhiza-poria-Zingiber officinale Roscoe. Combined with the COVID-19 epidemic disease recently, we suggest to use "Jiebiao" TCM drugs on early stage, such as: ephedra, Tangerine Peel, Mangnolia officinalis, Agastache rugosus, etc. On medium stage of the disease, "Qingre" TCM drugs can be applied, such as: gypsum, Anemarrhena asphodeloides Bunge, rhubarb, etc. On severe stage, ginseng and Cornus officinalis may be used. On late period of the disease, Tangerine Peel, Pinellia ternata Breit and some "Buxu" drugs can be applied.