| 杨梅,赵翡翠.基于数据挖掘的含附子中成药组方规律分析[J].中国药事,2022,36(2):217-224 |
| 基于数据挖掘的含附子中成药组方规律分析 |
| Analysis to Formulas of Chinese Patent Medicines Containing Aconite Based on Data Mining |
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| DOI：10.16153/j.1002-7777.2022.02.015 |
| 中文关键词: 附子 中成药 数据挖掘 组方规律 关联规则 |
| 英文关键词: aconite Chinese patent medicine data mining formulating rules association rules |
| 基金项目:新疆维吾尔自治区高校科研计划项目(编号 XJEDU2021I019) |
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| 中文摘要: |
| 目的：本研究运用关联规则挖掘含附子中成药组方规律，为临床应用及新药研发提供参考。方法：以2020年版《中国药典》作为处方来源，提取药物信息，建立数据库。使用Excel、SPSS 23.0及SPSS Modeler软件进行数据录入、频次、聚类和关联规则分析。结果：共纳入有效中成药处方33首，涉及药材 176味，累计出现频次467次，使用频次排名前5位的中药依次为附子、肉桂、当归、黄芪、山药；药物类别以补虚药味最多，其次为祛风湿药、活血化瘀药、理气药、解表药等；主治疾病以心系病类、肾系病类、躯体(痹、瘘、瘤等)病类为主。通过对高频药物(频数≥5次)性味归经分析得出含附子中成药中以甘、辛、苦味和温、平、寒性药为主，归肾经、脾经、心经、肝经药物居多；对高频药物(频数 ≥5次)聚类分析得到3大类组合，关联规则分析得出12个核心药物组合。结论：利用数据挖掘方法探究含附子中成药组方规律，对其临床应用提供了一定指导作用，为开展新处方研发提供了参考。 |
| 英文摘要: |
| Objective: Association rules were used to mine the prescription rules of Chinese patent medicines containing aconite in order to provide references for clinical application and new drug research and development. Methods: The Chinese Pharmacopoeia of 2020 edition was used as the source of prescriptions to extract drug information and establish a database. Excel, SPSS 23.0 and SPSS Modeler softwares were used for data entry, frequency, clustering and association rules' analysis. Results: A total of 33 valid Chinese patent medicine prescriptions were included, involving 176 medicinal materials with a cumulative frequency of 467 times. The top 5 Chinese medicines with high frequency were Aconite, Cinnamon, Angelica, Astragalus, and Chinese Yam. The main medicinal materials were tonifying drugs, followed by dispelling rheumatism, medicines for promoting blood circulation and removing blood stasis, medicines for regulating qi and surface relieving drugs, etc. The main treating diseases were heart disease, kidney disease, and body (arthralgia, fistula, tumor, etc.) diseases. Through the analysis of high-frequency drugs (frequency ≥5 times), it was concluded that Chinese patent medicines containing aconite tasted mainly sweet, pungent and bitter with warm, calm, and cold charactristics, which belonged to the kidney meridian, spleen meridian, heart meridian, and liver. The cluster analysis of high-frequency drugs (frequency ≥5 times) yielded 3 major combinations, and the association rules analysis yielded 12 core drug combinations. Conclusion: The use of data mining methods to explore the prescription rules of Chinese patent medicines containing aconite could provide some guidance for the clinical application and provide references for the development of new prescriptions. |
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