Analysis on Composition Principles of Prescriptions for Atrophic Lung Disease in the Book of 〈The Prescription of Traditional Chinese Medicine Dictionary〉

LI Jian; LU Peng; ZHANG Rui-xian; XING Fu-rong; CHEN Jian-xin; TANG Shi-huan; YANG Hong-jun

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Analysis on Composition Principles of Prescriptions for Atrophic Lung Disease in the Book of 〈The Prescription of Traditional Chinese Medicine Dictionary〉

更新时间：2024-01-04

- Analysis on Composition Principles of Prescriptions for Atrophic Lung Disease in the Book of 〈The Prescription of Traditional Chinese Medicine Dictionary〉
- Chinese Journal of Experimental Traditional Medical Formulae Vol. 18, Issue 10, Pages: 1-5(2012)
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- Published：2012
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LI Jian, LU Peng, ZHANG Rui-xian, et al. Analysis on Composition Principles of Prescriptions for Atrophic Lung Disease in the Book of 〈The Prescription of Traditional Chinese Medicine Dictionary〉[J]. Chinese journal of experimental traditional medical formulae, 2012, 18(10): 1-5.
DOI：

LI Jian, LU Peng, ZHANG Rui-xian, et al. Analysis on Composition Principles of Prescriptions for Atrophic Lung Disease in the Book of 〈The Prescription of Traditional Chinese Medicine Dictionary〉[J]. Chinese journal of experimental traditional medical formulae, 2012, 18(10): 1-5. DOI：

摘要

目的: 分析《中医方剂大辞典》中治疗肺痿方剂的组方规律。方法: 应用中医传承辅助系统(V1.1)

收集、整理治疗肺痿疾病的方剂

录入系统

利用熵方法与apriori算法进行组方规律分析。结果: 对筛选出的181个肺痿处方进行分析

使用频次在10以上的药物有23味。apriori算法组方规律分析得到42个常用药对(支持度个数≤13)

35个3味药物核心组合(支持度个数≤8)

8个4味药物核心组合(支持度个数≤6)

对肺痿方剂中药物关联规则进行分析

支持度个数≤10

置信度≤0.6。基于熵方法分析得到3味药核心组合32个

熵层次聚类得到9对组成新方的核心组合以及9个候选新方。结论: 中医传承辅助系统(V1.1)是中医方剂用药规律分析的良好工具。

Abstract

Objective: To analyze composition principles of the prescriptions for the treatment of atrophic lung disease. Method: prescriptions for atrophic lung disease are collected

sorted and entered into the TCM inheritance system (V1.1) to analyze the composition principles by the methods of entropy and apriori. Result: Based on the analysis of 181 cases of prescriptions

twenty-three medications with more than 10 frequencies are mined from the database. Composition principles are obtained with apriori method: forty-two frequently used herbal pair (support≤13); thirty-five core combinations with 3 medications (support ≤8); 8 core combinations with 4 medications (support ≤6); also the association principles for those medications in the prescriptions are analyzed (support≤10

confidence≤0.6). Principles are obtained with entropy: thirty-two core combinations with implicit rules of 3 medications; nine new core combinations 9 new prescriptions are found by hierarchical clustering method. Conclusion: TCM inheritance system(V1.1) is a useful tool to analyze the composition principles of prescriptions.

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Related Author

LU Peng1

ZHANG Rui-xian1

XING Fu-rong3

CHEN Jian-xin4

TANG Shi-huan1

YANG Hong-jun1

LI Jian1

TIAN Lu

Related Institution

Institute of Chinese Material Medica,Academy of Chinese Medical Sciences

Institute of Automation,Chinese Academy of Sciences

Institute of Basic Research In Clinical Medicine China Academy of Chinese Medical Sciences

Beijing University of Traditional Chinese Medicine

Coal General Hospital

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