基于中医传承辅助系统分析钟孟良教授治疗痹证的用药经验

高荣荣; 钟孟良; 边宝林; 李烨涵; 蔡月超; 刘金花

doi:10.13422/j.cnki.syfjx.2016240194

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基于中医传承辅助系统分析钟孟良教授治疗痹证的用药经验

数据挖掘 | 更新时间：2024-01-04

- 基于中医传承辅助系统分析钟孟良教授治疗痹证的用药经验
- Analysis on Professor ZHONG Meng-liang's Medication Experience for Arthromyodynia by Using Traditional Chinese Medicine Inheritance Support System
- 中国实验方剂学杂志 2016年22卷第24期页码：194-198
- 作者机构：
- 作者简介：
- 基金信息：
  
  中国中医科学院名医名家项目（CM20141018）
- DOI：10.13422/j.cnki.syfjx.2016240194
  中图分类号： R249;R255.6
- 纸质出版日期：2016
- 稿件说明：
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高荣荣, 钟孟良, 边宝林, 等. 基于中医传承辅助系统分析钟孟良教授治疗痹证的用药经验[J]. 中国实验方剂学杂志, 2016,22(24):194-198.

GAO Rong-rong, ZHONG Meng-liang, BIAN Bao-lin, et al. Analysis on Professor ZHONG Meng-liang's Medication Experience for Arthromyodynia by Using Traditional Chinese Medicine Inheritance Support System[J]. Chinese journal of experimental traditional medical formulae, 2016, 22(24): 194-198.
高荣荣, 钟孟良, 边宝林, 等. 基于中医传承辅助系统分析钟孟良教授治疗痹证的用药经验[J]. 中国实验方剂学杂志, 2016,22(24):194-198. DOI： 10.13422/j.cnki.syfjx.2016240194.

GAO Rong-rong, ZHONG Meng-liang, BIAN Bao-lin, et al. Analysis on Professor ZHONG Meng-liang's Medication Experience for Arthromyodynia by Using Traditional Chinese Medicine Inheritance Support System[J]. Chinese journal of experimental traditional medical formulae, 2016, 22(24): 194-198. DOI： 10.13422/j.cnki.syfjx.2016240194.

摘要

目的：基于中医传承辅助系统（V2.5）软件，分析钟孟良教授治疗痹证的用药经验。方法：收集钟孟良教授治疗痹证的病案，采用关联规则Apriori算法、复杂系统熵聚类及无监督的熵层次聚类等数据挖掘方法，结合专家校审，共同分析所选处方中药物的使用频次、配伍及组方规律等。结果：对筛选出的138个处方进行分析，得出钟教授治疗痹证的常用药物有黄芪、附子、木瓜等20种，得到核心组合22个和治疗痹证的新处方11个。结论：钟孟良教授对于痹证的治疗有着丰富的经验，多用益气温阳，祛风除湿，通络止痛之品随症加减，在临床均取得很好的疗效。

Abstract

Objective: To analyze the medication experience of professor ZHONG Meng-liang's prescriptions for treating arthromyodynia by using Traditional Chinese Medicine (TCM) Inheritance Support System (V2.5). Method: Professor ZHONG's prescriptions for arthromyodynia cases were collected

then the data were logged into the TCM inheritance support system by using data mining methods such as Apriori algorithm of association rules

complex system entropy cluster and unsupervised hierarchical cluster

then they were combined with professor ZHONG's personal proofreading to analyze the using frequency of herbs

compatibility and composition rules. Result: Based on the analysis of 138 prescriptions

there were 20 kinds of most commonly used herbs such as Astragali Radix

Aconiti Lateralis Radix Praeparaia and Chaenomelis Fructus. 22 core combinations and 11 new prescriptions were obtained. Conclusion: Professor ZHONG had a wealth of experience in the treatment of arthromyodynia. Professor ZHONG

and was good at using the drugs with supplementing Qi and warming Yang

expelling wind and removing damness

activating meridians and relieving pain to treat arthralgia syndrome.

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