基于数据挖掘技术分析李发枝治疗口疮用药规律
DOI:
CSTR:
作者:
作者单位:

作者简介:

通讯作者:

中图分类号:

R276.8

基金项目:

国家自然科学基金面上项目(81774453);河南省中医药科学研究专项课题(2022ZY1144,20-21ZY1034);河南省中医药新冠肺炎 科研专项课题(2022ZYFY08)


Analysis of Medication Rules of LI Fazhi in Treating Aphtha Based on Data Mining Technology
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:基于数据挖掘技术分析李发枝教授治疗口疮的用药规律。方法:收集李发枝教授2015年 1月—2022年10月在河南中医药大学第三附属医院治疗口疮的门诊病历及跟诊医师记录的病历。统计处方中的 药物使用频次和性味归经,采用R语言对使用频次前32位中药进行关联规则分析,使用K-means聚类方法进 行药物组群分析,对高频药物在处方中占比及归经进行流年分析。结果:1 625首处方涉及中药199种,使用 总频次16 766次。药性使用频次以寒性最多,温性次之。药味以辛、甘、苦为主。归经以脾、肺、胃、心经为 主。关联规则分析显示,以清半夏、干姜、黄连、甘草的药组为核心,其与荆芥、防风的关联性最强。使用频 次排名前32位的中药可聚类为7个群组。流年分析显示,甘草、黄芩、黄连、干姜、清半夏在2015—2022年 占比均较高,大枣、人参在2020—2022年占比显著增长;用药集中在肺、脾经,随着时间的推移,胃、心、 肝经用药均有所上升,其余归经用药有所下降。结论:李发枝教授治疗口疮以脾胃为核心,临床用药注重升降 相因、寒温并用、疏畅中焦,近年来尤其重视对中焦的补益。

    Abstract:

    Abstract: Objective: To analysis the medication rules of Professor LI Fazhi in treating aphtha based on data mining technology. Methods: The clinical records of Professor LI Fazhi in treating aphtha at the Third Affiliated Hospital of Henan University of Traditional Chinese Medicine from January 2015 to October 2022 and the case history recorded by the physicians during their clinical practice and study were collected. The frequency of Chinese medicinals used in the prescriptions,the nature and flavor,and the meridian entries were counted;using R language,the top 32 Chinese medicinals in frequency of use was given the association rules analysis; K-means clustering method was used for Chinese medicinal groups analysis;the proportion of highly-used Chinese medicinals in prescriptions and their meridian entries were subjected to the time-flow analysis. Results: A total of 199 kinds of Chinese medicinals were involved in 1 625 prescriptions,with a total frequency of use of 16 766 times. The frequently-used Chinese medicinals were mostly cold in nature,followed by warm. The frequently-used Chinese medicinals were mainly acrid,sweet and bitter in flavor. The meridian entries were mainly the spleen, lung, stomach and heart. Association rules analysis showed that the medicinal group of Pinelliae Rhizoma Praeparatum cum Alumine, Zingiberis Rhizoma, Coptidis Rhizoma and Glycyrrhizae Radix et Rhizoma was the core, which had the strongest correlation with Schizonepetae Herba and Saposhnikoviae Radix. The top 32 Chinese medicinals in the frequency can be clustered into seven groups. The time-flow analysis showed that Glycyrrhizae Radix et Rhizoma,Scutellariae Radix,Coptidis Rhizoma,Zingiberis Rhizoma and Pinelliae Rhizoma Praeparatum cum Alumine accounted for a higher proportion from 2015 to 2022,and the proportion of Jujubae Fructus and Ginseng Radix et Rhizoma had a significant increase from 2020 to 2022; the medication was concentrated in the meridian entries of the lung and spleen. With the passage of time,the medication of the meridian entries of the stomach,heart and liver was increased,and that of the rest meridian entries was declined. Conclusion:Professor LI Fazhi treats aphtha with the spleen and stomach as the core. The clinical medication focuses on the ascent-descent cause, the combination use of cold and warm Chinese medicinals, and the regulation of the middle energizer. In recent years,special attention has been paid to tonify and boost the middle energizer.

    参考文献
    相似文献
    引证文献
引用本文

符诚,潘晔,李萌,潘玉颖,王新峰,张国海,张明利,指导:李发枝.基于数据挖掘技术分析李发枝治疗口疮用药规律[J].新中医,2025,57(6):7-12

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: 2025-03-26
  • 出版日期:
文章二维码