基于数据挖掘研究梁德治疗腰椎间盘突出症用药规律
DOI:
作者:
作者单位:

作者简介:

通讯作者:

中图分类号:

R681.5+3

基金项目:

广州市科协2023年青年科技人才托举项目(QT-2023-022);广州中医药大学第一附属医院中青年骨干人才培育项目——青优人 才(2023QY13)


Research on Medication Rules of LIANG De Treating Lumbar Disc Herniation Based on Data Mining
Author:
Affiliation:

Fund Project:

  • 摘要
  • |
  • 图/表
  • |
  • 访问统计
  • |
  • 参考文献
  • |
  • 相似文献
  • |
  • 引证文献
  • |
  • 资源附件
  • |
  • 文章评论
    摘要:

    目的:基于数据挖掘研究梁德教授治疗腰椎间盘突出症的用药规律。中医传承辅助平台V2.5软 件,分析梁德教授治疗腰椎间盘突出症的用药规律。方法:收集梁德教授治疗腰椎间盘突出症门诊处方,将数 据录入中医传承辅助平台V2.5中,采用该软件集成的规则分析、改进互信息法、复杂系统熵聚类及无监督的 熵层次聚类等数据挖掘方法,对梁德教授治疗腰椎间盘突出症的处方进行分析。结果:共纳入处方75首,涉 及药物55味,其中药物使用频率≥10次,共有24味,排前10位的药物分别是:独活、生地黄、牛膝、桃仁、 柴胡、续断、白芍、杜仲、炙甘草、甘草。关联规则分析,设置支持度数量15个(支持度≥30%),置信率 0.60,得到频次≥30的药对组合32个,排前10位的中药组合分别是:白芍-柴胡,杜仲-续断,续断-独活,杜 仲-独活,生地黄-牛膝,生地黄-桃仁,杜仲-续断-独活,生地黄-独活,生地黄-续断,桃仁-牛膝;改进互 信息法分析,设置相关系数5,惩罚系数2,得到核心组合(关联系数≥0.05),进一步聚类演化后得出8个核心 组合,每个组合均由3味中药组成;无监督熵层次聚类分析得到4首潜在新方组合。结论:梁德教授治疗腰椎 间盘突出症用药以益气健脾祛湿、行气活血止痛为主,常辅以补肾强骨、舒筋活络、滋阴养阴等药,体现其诊 治腰椎间盘突出症从脾肾两脏入手,兼顾先后天之本的临证经验和“刚柔并济,筋骨并重”的治疗原则。

    Abstract:

    Abstract: Objective: To research the medication rules of Professor LIANG De in the treatment of lumbar disc herniation based on data mining. Using the V2.5 software of Traditional Chinese Medicine Inheritance Assistance Platform,to analyze the medication rules of Professor LIANG De in the treatment of lumbar disc herniation. Methods: The outpatient prescriptions of Professor LIANG De for treating lumbar disc herniation were collected, and the data was put into Traditional Chinese Medicine Inheritance Assistance Platform V2.5. Data mining methods such as rule analysis, improved mutual information method, complex system entropy clustering, and unsupervised entropy hierarchical clustering integrated in the software were applied to analyze Professor LIANG De's prescriptions for treating lumbar disc herniation. Results:A total of 75 prescriptions were included,involving 55 medicinals. Among them,the frequency of medicinal use was ≥ 10 times, with a total of 24 medicinals. The top 10 medicinals were: Angelicae Pubescentis Radix, Rehmanniae Radix, Achyranthis Bidentatae Radix, Persicae Semen, Bupleuri Radix,Dipsaci Radix,Paeoniae Radix Alba,Eucommiae Cortex,Glycyrrhizae Radix et Rhizoma Praeparata cum Melle, and Glycyrrhizae Radix et Rhizoma. Association rule analysis, with a support number of 15 (support score ≥ 30%) and a confidence rate of 0.60,resulted in 32 couplet medicines with a frequency of ≥ 30. The top 10 couplet medicines were:Paeoniae Radix Alba-Bupleuri Radix,Eucommiae Cortex-Dipsaci Radix, Dipsaci Radix-Angelicae Pubescentis Radix, Eucommiae Cortex-Angelicae Pubescentis Radix, Rehmanniae Radix-Achyranthis Bidentatae Radix, Rehmanniae Radix-Persicae Semen,Eucommiae Cortex-Dipsaci Radix-Angelicae Pubescentis Radix,Rehmanniae Radix-Pubescentis Radix Angelicae, Rehmanniae Radix-Dipsaci Radix, and Persicae Semen-Achyranthis Bidentatae Radix. Improved mutual information analysis, with a set correlation coefficient of 5 and penalty coefficient of 2, obtained core combinations (correlation coefficient ≥ 0.05). After further clustering and evolution, 8 core combinations were obtained, each consisting of 3 Chinese medicinals. Unsupervised entropy hierarchical clustering analysis obtained 4 potential new combinations. Conclusion: Professor LIANG De's medication for lumbar disc herniation mainly focuses on tonifying qi,strengthening the spleen,dispelling dampness, and promoting qi, promoting blood circulation, and relieving pain, which is often supplemented with medicinals such as tonifying the kidney and strengthening bones, relaxing tendons and activating collaterals, and nourishing yin. This reflects his clinical experience in diagnosing and treating lumbar disc herniation from the perspectives of spleen and kidney, taking into account the fundamental principles of nature,and the treatment principle of "balancing hardness and softness,and emphasizing both sinew and bones".

    参考文献
    相似文献
    引证文献
引用本文

余翔,陈星达,陈卓群,方志超,指导:梁德.基于数据挖掘研究梁德治疗腰椎间盘突出症用药规律[J].新中医,2024,56(10):1-6

复制
分享
文章指标
  • 点击次数:
  • 下载次数:
  • HTML阅读次数:
  • 引用次数:
历史
  • 收稿日期:
  • 最后修改日期:
  • 录用日期:
  • 在线发布日期: 2024-05-28
  • 出版日期: