Exploring Association Rules of Traditional Chinese Medicine ‘Syndrome-symptom-formula-herb’ in Chronic Glomerulonephritis by a Novel Text Mining Approach

ZHAN Jun-ping1; ZHENG Guang2; JIANG Miao2; YANG Jing2; LV Cheng2; HE Xiao-juan2; LV Ai-ping2

doi:10.13422/j.cnki.syfjx.2013.03.014

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Exploring Association Rules of Traditional Chinese Medicine ‘Syndrome-symptom-formula-herb’ in Chronic Glomerulonephritis by a Novel Text Mining Approach

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- Exploring Association Rules of Traditional Chinese Medicine ‘Syndrome-symptom-formula-herb’ in Chronic Glomerulonephritis by a Novel Text Mining Approach
- Chinese Journal of Experimental Traditional Medical Formulae Vol. 19, Issue 3, Pages: 315-320(2013)
- 作者机构：
  
  1. 上海中医药大学
  2. 中国中医科学院中医临床基础医学研究所
  3. 兰州大学数学院
- 作者简介：
- 基金信息：
- DOI：10.13422/j.cnki.syfjx.2013.03.014
  CLC： R277.5
- Published：2013
- 稿件说明：
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[1]展俊平,郑光,姜淼,杨静,吕诚,何晓鹃,吕爱平.文本挖掘探索慢性肾小球肾炎“证-症-方-药”相应规律[J].中国实验方剂学杂志,2013,19(03):315-320.

ZHAN Jun-ping1, ZHENG Guang2, JIANG Miao2, et al. Exploring Association Rules of Traditional Chinese Medicine ‘Syndrome-symptom-formula-herb’ in Chronic Glomerulonephritis by a Novel Text Mining Approach[J]. Chinese journal of experimental traditional medical formulae, 2013, 19(3): 315-320.
[1]展俊平,郑光,姜淼,杨静,吕诚,何晓鹃,吕爱平.文本挖掘探索慢性肾小球肾炎“证-症-方-药”相应规律[J].中国实验方剂学杂志,2013,19(03):315-320. DOI： 10.13422/j.cnki.syfjx.2013.03.014.

ZHAN Jun-ping1, ZHENG Guang2, JIANG Miao2, et al. Exploring Association Rules of Traditional Chinese Medicine ‘Syndrome-symptom-formula-herb’ in Chronic Glomerulonephritis by a Novel Text Mining Approach[J]. Chinese journal of experimental traditional medical formulae, 2013, 19(3): 315-320. DOI： 10.13422/j.cnki.syfjx.2013.03.014.

摘要

目的:探索慢性肾小球肾炎证药相应规律。方法:在CBM数据库中收集治疗慢性肾小球肾炎文献数据

采用基于敏感关键词频数统计的数据分层算法

挖掘慢性肾小球肾炎的证候、症状、汤药及中药的规律

通过一维频次的解释及二维的网络图展示。结果:慢性肾小球肾炎本虚标实

虚证多见

标实以湿热、血瘀、风邪

Abstract

Objective:To explore the rules of Chinese herbal medicine under the framework of syndrome in traditional Chinese medicine（TCM）.Method: The data on chronic glomerulonephritis were collected from Chinese BioMedical literature database.Then

the rules of TCM syndrome

symptoms

and Chinese herbal medicines were mined out.The results were showed in frequency explanation and 2-dimention networks.Result: For TCM pattern

chronic glomerulonephritis is mainly focused on root deficiency and branch excess.For TCM internal organs

kidney

lung

and spleen are involved.For syndromes

deficiency of both Qi and Yin is the most significant

edema

fever

lack of power and lumbago as associated symptoms.For Chinese herbal medicines

supplementing Qi and nourishing Yin is the typical applications.Conclusion: Text mining

together with artificial reading for anti-noising

is an important approach in exploring the rules of TCM syndrome

symptom

and their association with Chinese herbal medicines.

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Related Author

ZHAN Jun-ping

ZHENG Guang

JIANG Miao

YANG Jing

LV Cheng

HE Xiao-juan

LV Ai-ping

TIAN Jing-ping

Related Institution

Henan University of Chinese Medicine

Collaborative Innovation Center of Research and Development on the Whole Industry Chain of Yu-Yao， Henan University of Chinese Medicine

Chengde Central Hospital， The Second Affiliated Hospital of Chengde Medical College

Hebei Provincial Hospital of Traditional Chinese Medicine

School of Ethnic Medicine，Research Center of Ethnic Medicine Academic Inheritance and Innovation，Chengdu University of Traditional Chinese Medicine

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