• 国家药监局综合司 国家卫生健康委办公厅
  • 国家药监局综合司 国家卫生健康委办公厅

基于数据挖掘探讨名老中医治疗腰痛的用药规律研究

通讯作者: 曾景奇, zengjingqi4317@hnucm.edu.cn
DOI:10.12201/bmr.202510.00020
声明:预印本系统所发表的论文仅用于最新科研成果的交流与共享,未经同行评议,因此不建议直接应用于指导临床实践。

Data Mining-Based Study on the Medication Rules of Renowned Chinese Medicine Practitioners in Treating Back Pain?

Corresponding author: zengjingqi, zengjingqi4317@hnucm.edu.cn
  • 摘要:?目的:基于数据挖掘技术分析田心义教授治疗腰痛的用药规律。方法:收集田心义教授门诊病历209则,处方209首,涉及中药84味,运用古今医案云平台(V2.3.5)进行频次、属性、归经、关联规则及聚类分析。结果:高频药物包括甘草、黄芪、当归等;药性以温(56.36%)、平(28.95%)为主,药味以甘(62.31%)、辛(54.87%)、苦(41.65%)为主;归经多属肝(52.68%)、脾(47.66%)、肾(33.22%)经。核心功效为强筋骨、补肝肾、祛风湿。关联规则得42组药对,聚类获4类药组。结论:田教授治腰痛以“扶正祛邪,标本兼治”为原则,重在益气血、补肝肾、强筋骨以治本,祛风湿、通经络以治标,体现多靶点整体调节特色。

    关键词: 腰痛;数据挖掘;用药规律;田心义

     

    Abstract: Objective:To analyze the medication rules of Professor Tian Xinyi in treating Back pain based on data mining technology.Methods:A total of 209 outpatient medical records and corresponding prescriptions were collected, involving 84 herbal medicines. The ancient and modern medical case cloud platform (V2.3.5) was used to perform frequency, attribute, channel tropism, association rule, and clustering analyses.Results:High-frequency herbs included Glycyrrhizae Radix (Gancao), Astragali Radix (Huangqi), and Angelicae Sinensis Radix (Danggui), among others. Herbal properties were primarily warm (56.36%) and neutral (28.95%); flavors were mainly sweet (62.31%), pungent (54.87%), and bitter (41.65%). The meridians entered were mostly the Liver (52.68%), Spleen (47.66%), and Kidney (33.22%) meridians. The core efficacies were strengthening bones and tendons, tonifying the liver and kidney, and dispelling wind-damp. Association rule analysis yielded 42 herb pairs, and clustering analysis identified 4 core herb groups.Conclusion:Professor Tian’s treatment of back pain is based on the principle of “supporting healthy qi and eliminating pathogenic factors, addressing both the root and branch,” emphasizing boosting qi and blood, tonifying the liver and kidney, and strengthening bones and tendons to address the root, while dispelling wind-damp and unblocking collaterals to address the branch. The prescription structure is rigorous, reflecting a holistic, multi-target regulatory approach.

    Key words: Back pain; Data mining; Medication rule; Tian Xinyi

    提交时间:2025-10-13

    版权声明:作者本人独立拥有该论文的版权,预印本系统仅拥有论文的永久保存权利。任何人未经允许不得重复使用。
  • 图表

  • 李晟, 陈钦. 基于数据挖掘探析名老中医治疗特发性膜性肾病的用药规律. 2025. doi: 10.12201/bmr.202507.00050

    孟婷. 基于数据挖掘探讨钟洁教授治疗卵巢储备功能减退的用药规律. 2025. doi: 10.12201/bmr.202504.00005

    覃蓝逸, 文艺群, 陆灵娟. 基于数据挖掘和网络药理学探讨中医药治疗老年性耳聋的用药规律. 2025. doi: 10.12201/bmr.202506.00077

    李昱, 杨涛, 胡孔法. 基于层次社团划分算法的名老中医治疗肺癌的用药规律研究. 2021. doi: 10.12201/bmr.202110.00020

    王婷, 常亚辉, 秦祖杰, 王成龙, 张萌, 曹阳梦, 邓思炎. 基于数据挖掘的虚劳病用药规律及临床经验分析. 2025. doi: 10.12201/bmr.202507.00063

    季兴祖, 郑勇飞, 周敏华, 叶益平. 基于数据挖掘研究叶益平治疗肺癌用药规律. 2024. doi: 10.12201/bmr.202407.00030

    章璐璐, 胡欣欣, 高楚楚, 朱雪梅, 潘伊伊. 基于真实世界数据挖掘分析治疗月经病冲任失调证的用药规律. 2024. doi: 10.12201/bmr.202412.00026

    洪天琪, 杨笑亚, 张慧燕, 葛凯莉, 薛洋洋, 魏春山. 基于数据挖掘和网络药理学探析肝癌的用药规律及作用机制. 2024. doi: 10.12201/bmr.202407.00040

    李苑, 钱琳, 杨义. 中药治疗乳腺癌用药规律研究—基于真实世界的数据挖掘. 2025. doi: 10.12201/bmr.202506.00022

    杨俊杰, 栗梦凡, 张霖, 张益伟. 基于数据挖掘分析梁晖教授治疗失眠用药规律及机制探讨. 2024. doi: 10.12201/bmr.202410.00039

  • 序号 提交日期 编号 操作
    1 2025-10-04

    bmr.202510.00020V1

    下载
  • 公开评论  匿名评论  仅发给作者

引用格式

马怀玉, .金晖, 徐浩然, 戚雅涵, 曾景奇. 基于数据挖掘探讨名老中医治疗腰痛的用药规律研究. 2025. biomedRxiv.202510.00020

访问统计

  • 阅读量:18
  • 下载量: 0
  • 评论数:0

Email This Article

User name:
Email:*请输入正确邮箱
Code:*验证码错误