标题：基于数据挖掘的放射性肺炎中药用药规律研究

      作者：郭梓萌 1，柳凯中 1，王一帆 1，张欣怡 1，王诗慧 1，蔡佳怡 2    1.中国医科大学中英联合学院，辽宁 沈阳 110122；2.中国医科大学药学院，辽宁 沈阳 110122

      卷次： 2022年33卷21期

      【摘要】 目的 通过对全数据库中放射性肺炎的中药复方治疗方案进行数据挖掘，阐述本类疾病中药复方用药规律。方法 检索 PubMed、The Cochrane Library、Embase、CNKI、Wanfang、VIP数据库(建库至 2022年 1月 31日)，应用NoteExpress进行数据筛选与提取，并进行频次分析，应用SPSS23.0进行聚类分析，应用SPSS modeler 18.0进行关联分析。结果 依据频次分析结果，甘草、麦冬、黄芪出现频次最高；味寒、苦、苷类中药最为广泛；主要经过肺经、肝经；以清热解毒、滋阴益气、润肺活血为主；通过聚类分析形成了6个聚类组；关联分析中，二联支持度最高的是沙参和麦冬、甘草与麦冬的组合，黄芪和党参的组合具有更好的置信度；三联关联中黄芪、麦冬、甘草的组合具有最佳支持度与可信度。结论 放射性肺炎的治疗以清热解毒、益气滋阴为主，黄芪、麦冬、甘草的组合在治疗放射性肺炎方面具有统计学优势。
      【关键词】 放射性肺炎；中药；数据挖掘；聚类分析；关联度
      【中图分类号】 R563.1 【文献标识码】 A 【文章编号】 1003—6350（2022）21—2721—05

Prescription and medication rules of traditional Chinese medicine for treatment of radiation pneumonitis based ondata mining.
GUO Zi-meng 1, LIU Kai-zhong 1, WANG Yi-fan 1, ZHANG Xin-yi 1, WANG Shi-hui 1, CAI Jia-yi 2. 1. ChinaMedical University-The Queen’s University of Belfast Joint College, Shenyang 110122, Liaoning, CHINA; 2. College ofPharmaceutical Science, China Medical University, Shenyang 110122, Liaoning, CHINA
【Abstract】 Objective To explore the medication rules of traditional Chinese medicine for treatment of radia-tion pneumonitis through data mining. Methods PubMed, The Cochrane Library, Embase, CNKI, Wanfang, VIP data-bases were searched from establishment of databases to 31 January 2022. NoteExpress was used for data filtration andextraction, and frequency analysis was performed by Excel. SPSS23.0 was applied for cluster analysis, and SPSS model-er 18.0 was used for association analysis. Results Frequency analysis showed that Licorice, Ophiopogon japonicus, andAstragalus membranaceus appear most frequently, and traditional Chinese medicine with cold, bitter and glycosides prop-erties are the most widespread. They mainly pass through the lung and liver meridians, and are mostly used to clear heat,detoxify the body, nourish Yin and Qi, moisten the lung and invigorate the blood. Six clusters were formed through clus-ter analysis. In the association analysis, the combination of Adenophora stricta and Ophiopogon japonicus, followed by Lic-orice and Ophiopogon japonicus has the highest credibility in duplex support, and the combination of Astragalus membra-naceus and Codonopsis pilosula has better confidence. The combination of Astragalus membranaceus, Ophiopogon japoni-cus, and Licorice has the best credibility and confidence in triple support. Conclusion The main mechanisms on treat-ment of radiation pneumonitis are heat-clearing, detoxifying, benefiting Qi and nourishing Yin. The combination of As-tragalus membranaceus, Ophiopogon japonicus, and Licorice is statistically advantageous.
      【Key words】 Radiation pneumonitis; Traditional Chinese medicine; Data mining; Cluster analysis; Relevance