文本挖掘探索慢性肾小球肾炎"证-症-方-药"相应规律

展俊平; 郑光; 姜淼; 杨静; 吕诚; 何晓鹃; 吕爱平

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文本挖掘探索慢性肾小球肾炎"证-症-方-药"相应规律

更新时间：2024-09-23

- 文本挖掘探索慢性肾小球肾炎"证-症-方-药"相应规律
- Exploring Association Rules of Traditional Chinese Medicine'Syndrome-symptom-formula-herb’in Chronic Glomerulonephritis by a Novel Text Mining Approach
- 中国实验方剂学杂志 2013年19卷第3期页码：315-320
- 作者机构：
- 作者简介：
- 基金信息：
  
  国家自然科学基金杰出青年项目(30825047);国家自然科学基金面上项目(30973975,81072982);青年基金项目(30902003);中国博士后基金面上项目(20110940553);中国中医科学院自主选题项目(Z0172)
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- 纸质出版日期：2013
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展俊平, 郑光, 姜淼, 等. 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(3):315-320.

ZHAN Jun-ping, ZHENG Guang, JIANG Miao, 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.
展俊平, 郑光, 姜淼, 等. 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(3):315-320. DOI：

ZHAN Jun-ping, ZHENG Guang, JIANG Miao, 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：

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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