Combination Rules of Chinese Herb Prescriptions for Treating Chronic Obstructive Lung Disease by Complex Network

HUANG Yuan1; YANG Ming2; CHEN Jia-lei2; XUE Hong-hao2; ZHANG Hui-yong2

doi:10.13422/j.cnki.syfjx.2012.15.003

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Combination Rules of Chinese Herb Prescriptions for Treating Chronic Obstructive Lung Disease by Complex Network

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- Combination Rules of Chinese Herb Prescriptions for Treating Chronic Obstructive Lung Disease by Complex Network
- Chinese Journal of Experimental Traditional Medical Formulae Vol. 18, Issue 15, Pages: 7-11(2012)
- 作者机构：
  
  1. 上海交通大学医学院附属新华医院
  2. 上海中医药大学附属龙华医院
- 作者简介：
- 基金信息：
- DOI：10.13422/j.cnki.syfjx.2012.15.003
  CLC： R259
- Published：2012
- 稿件说明：
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[1]黄源,杨铭,陈佳蕾,薛鸿浩,张惠勇.基于复杂网络的中医药治疗慢性阻塞性肺疾病的用药配伍特点[J].中国实验方剂学杂志,2012,18(15):7-11.

HUANG Yuan1, YANG Ming2, CHEN Jia-lei2, et al. Combination Rules of Chinese Herb Prescriptions for Treating Chronic Obstructive Lung Disease by Complex Network[J]. Chinese journal of experimental traditional medical formulae, 2012, 18(15): 7-11.
[1]黄源,杨铭,陈佳蕾,薛鸿浩,张惠勇.基于复杂网络的中医药治疗慢性阻塞性肺疾病的用药配伍特点[J].中国实验方剂学杂志,2012,18(15):7-11. DOI： 10.13422/j.cnki.syfjx.2012.15.003.

HUANG Yuan1, YANG Ming2, CHEN Jia-lei2, et al. Combination Rules of Chinese Herb Prescriptions for Treating Chronic Obstructive Lung Disease by Complex Network[J]. Chinese journal of experimental traditional medical formulae, 2012, 18(15): 7-11. DOI： 10.13422/j.cnki.syfjx.2012.15.003.

摘要

目的:探讨应用复杂网络方法用于慢性阻塞性肺疾病（chronic obstructive lung disease

COPD）有效病例的方剂数据挖掘的可行性。方法:以龙华医院近3年综合治疗COPD的有效病例为基础

建立相应方剂的药物配伍网络

通过对网络的统计信息进行分析

挖掘中医药治疗COPD的用药配伍规律。结果:通过对网络的中心性研究

发现了中心度相对较高的核心药物

通过对网络的凝聚子群分析发现了相应的核心处方及加减变化规律

分析结果基本符合临床实际情况。结论:复杂网络方法可用于COPD方剂的数据挖掘

是研究总结方剂配伍规律的有效方法之一。

Abstract

Objective: To investigate into the feasibility of complex network for data mining on chronic obstructive lung disease（COPD） with effective chinese herb prescriptions.Method: Effective prescription drugs network was established based on COPD effective clinical data collected.Then the combination rules of Chinese herb prescriptions were mined by analyzing statistical information of the complex network.Result: Core drugs were found by central analysis of the network.Core prescriptions were found by condensed subgroup analysis of the network.The results

for the most part

correspond with the actual clinics.Conclusion: Complex systems entropy network is suitable for analysis of the combination rules of COPD effective Chinese herb prescriptions

which is one of the effective methods to study the compatibility law of Chinese herb prescriptions.

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Related Author

HUANG Yuan

YANG Ming

CHEN Jia-lei

XUE Hong-hao

ZHANG Hui-yong

JIN Peipei

WANG Tongxing

CHANG Liping

Related Institution

State Key Laboratory for Innovation and Transformation of Luobing Theory， Shijiazhuang Yiling Pharmaceutical Co. Ltd.

Hebei Yiling Hospital

Graduate School， Hebei University of Chinese Medicine

Shanxi Acupuncture Hospital

Shanxi University of Chinese Medicine

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