基于数据挖掘分析中医药治疗新型冠状病毒肺炎普通型的组方用药规律

Analysis of prescription rules of COVID-19 treated by traditional Chinese medicine based on data mining

关键词:  新型冠状病毒肺炎  疫病  中医药治疗  数据挖掘  用药规律

Key words:  COVID-19  epidemic disease  Chinese medicine treatment  data mining  medication

摘要:

[目的] 基于数据挖掘分析湖北省中西医结合医院运用中医药治疗新型冠状病毒肺炎普通型的组方用药规律，总结用药经验，提取核心处方以及可能形成的新处方，为中医药治疗新型冠状病毒肺炎提供更多选择。[方法] 收集2020年1月24日—3月11日于湖北省中西医结合医院住院并确诊为新型冠状病毒肺炎普通型患者的基本信息及中医处方，运用中医传承辅助平台系统进行数据挖掘，基于系统集成的频次分析、关联规则分析、改进的互信息法和熵聚类等挖掘方法，分析总结药物属性、用药频次、常用剂量、相互关系及可能的新方组合。[结果] 共收集符合纳入标准的患者319例，筛选处方709首，涉及中药251味，共有30味中药使用频次在100次以上，排在前3位的药物分别是茯苓、陈皮、燀苦杏仁，药性以温、寒为主，药味以苦、甘、辛多见，归经主入肺、脾、胃经。药物组合排在前3位的分别是“陈皮、茯苓”“炒白术、茯苓”“茯苓、燀苦杏仁”。基于改进的互信息法两两药物关联系数最高的是“款冬花、泽泻”。基于熵聚类法，提取10对核心组合，得到5个新方组合。[结论] 新型冠状病毒肺炎普通型的中医药治疗中，要重视肺脾胃同治，可适当多用温、寒、苦、甘之品，常用茯苓、陈皮、苦杏仁、法半夏、白术等药。

Abstract:

[Objective] Based on data mining, this paper analyzed the regularity of prescription medication for treating novel coronavirus pneumonia in our hospital. The experience of prescription was summarized, the core prescription and possible new prescription were extracted, which provided more choices for the treatment of novel coronavirus pneumonia. [Methods] The patients in our hospital from January 24, 2020 to March 11, 2020 diagnosed the common type of NCP were collected, and whose basic information and prescription of them were collected. Data mining was carried out by using the auxiliary platform system of traditional Chinese medicine inheritance. Based on the mining methods of frequency analysis, association rule analysis, improved mutual information method and entropy clustering, the drug attributes, drug frequency, commonly used dose, interrelation and possible new combinations were analyzed and summarized. [Results] In this study, 319 patients who met the inclusion criteria were collected, 709 prescriptions were screened, involving 251 kinds of traditional Chinese medicine, and 30 kinds of traditional Chinese medicine were used more than 100 times. The top three drugs were Poria cocos, tangerine peel and bitter almond. The main drugs were temper and cold. Most of the drugs were bitter, sweet and pungent, and the main drugs were lung, spleen and stomach meridian.The top three drug combinations were "tangerine peel, Poria cocos", "stir fried Atractylodes rhizome, Poria cocos", "Poria cocos, bitter almond". Based on the improved mutual information method, the highest correlation coefficients of the two drugs were Donghua and Alisma orientalis.Based on entropy clustering, 10 pairs of core combinations are extracted and 5 pairs of new square combinations are obtained. [Conclusion] In Chinese medicine treatment of the common type of NCP, we should pay the same attention to treatment of lung, spleen and stomach. We should use warm, cold, bitter and sweet products, and use more Poria, tangerine peel, bitter almond, French pinellia, Atractylodes rhizome, etc.