Exploring Association Rules of Syndrome and Herbal Medicine within Framework of Traditional Chinese Medicine on Coronary Heart Disease Through Text Mining Approach

YANG Jing; TIAN Jing-ping; TAN Yong; CAI Feng; JIANG Miao; LV Ai-ping

doi:10.11653/syfj2013210319

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Exploring Association Rules of Syndrome and Herbal Medicine within Framework of Traditional Chinese Medicine on Coronary Heart Disease Through Text Mining Approach

更新时间：2024-01-04

- Exploring Association Rules of Syndrome and Herbal Medicine within Framework of Traditional Chinese Medicine on Coronary Heart Disease Through Text Mining Approach
- Chinese Journal of Experimental Traditional Medical Formulae Vol. 19, Issue 21, Pages: 319-322(2013)
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- DOI：10.11653/syfj2013210319
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- Published：2013
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YANG Jing, TIAN Jing-ping, TAN Yong, et al. Exploring Association Rules of Syndrome and Herbal Medicine within Framework of Traditional Chinese Medicine on Coronary Heart Disease Through Text Mining Approach[J]. Chinese journal of experimental traditional medical formulae, 2013, 19(21): 319-322.
DOI：

YANG Jing, TIAN Jing-ping, TAN Yong, et al. Exploring Association Rules of Syndrome and Herbal Medicine within Framework of Traditional Chinese Medicine on Coronary Heart Disease Through Text Mining Approach[J]. Chinese journal of experimental traditional medical formulae, 2013, 19(21): 319-322. DOI： 10.11653/syfj2013210319.

摘要

目的: 采用文本挖掘方法

探索中医药治疗冠心病药证对应规律。方法: 在中国生物医学文献(CBM)数据库中收集有关冠心病文献数据

采用基于敏感关键词频数统计的数据分层算法

挖掘冠心病证候、中药及它们之间的规律

并利用Cytoscape 2.8软件进行可视化展示。结果: 冠心病证候以气虚血瘀为最常见证候

其次为心血瘀阻、气阴两虚。丹参、黄芪、葛根、人参、红花、川芎、三七、麦冬为治疗冠心病的核心药物。定向挖掘结果显示治疗冠心病气虚血瘀证的药物与冠心病常用药物基本一致。结论: 文本挖掘技术能够比较客观地总结疾病药证对应规律

为临床应用提供有益的探索和参考。

Abstract

Objective: Explore the principle of pattern-herbs of Chinese medicine on coronary heart disease (CHD)by text mining analysis. Method: Download the literatures about CHD from Chinese Bio-Medical Literature Database. Mine the rules of traditional Chinese medicine(TCM) pattern and Chinese herbal medicines by data slicing algorithm. The results are showed visually with Cytoscape 2.8 software. Result: The pattern of qi deficiency and blood stasis is the main TCM symptom. Heart blood stasis syndrome and deficiency of qi and yin are the common pattern. The center TCM herbs of CHD are Radix Salviae Miltiorrhizae

Radix Astragali

Radix Puerariae

Radix Ginseng

Flos Carthami

Rhizoma Chuanxiong

Radix Notoginseng

Radix Ophiopogonis. As is shown in directional mining

the center herbs for damp-heat pattern are similar with those treatments for CHD. Conclusion: Text mining approach provides an important method in exploring the rules of pattern-herbs of Chinese medicine.

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Related Author

ZHAN Jun-ping

ZHENG Guang

LV Cheng

HE Xiao-juan

HE Dan

ZHANG Chi

ZHAO Ning

SHEN Shan-shan

Related Institution

School of Information Science and Engineering Technology,Lanzhou University

Institute of Basic Research in Clinical Medicine,China Academy of Chinese Medical Sciences

Shanghai University of Traditional Chinese Medicine

Natural History Museum of China

Beijing Key Laboratory of Chinese Materia Pharmacology，National Clinical Research Center of Traditional Chinese Medicine for Cardiovascular Diseases，Institute of Basic Medical Sciences， Xiyuan Hospital，China Academy of Chinese Medical Sciences

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