To Explore Regularity of Syndrome and Therapeutic Principles on Anemia with Text Mining Technique

TIAN Jing-ping1; ZHENG Guang2; GUO Hong-tao4; CAI Feng2; LV Cheng2; JIANG Miao2; ZHANG Chi2; LV Ai-ping2

doi:10.13422/j.cnki.syfjx.2013.05.029

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To Explore Regularity of Syndrome and Therapeutic Principles on Anemia with Text Mining Technique

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- To Explore Regularity of Syndrome and Therapeutic Principles on Anemia with Text Mining Technique
- Chinese Journal of Experimental Traditional Medical Formulae Vol. 19, Issue 5, Pages: 341-344(2013)
- 作者机构：
  
  1. 广州中医药大学研究生院
  2. 中国中医科学院中医临床基础医学研究所
  3. 兰州大学信息学院
  4. 河南中医学院第一附属医院
- 作者简介：
- 基金信息：
- DOI：10.13422/j.cnki.syfjx.2013.05.029
  CLC： R259
- Published：2013
- 稿件说明：
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[1]田景平,郑光,郭洪涛,蔡峰,吕诚,姜淼,张弛,吕爱平.文本挖掘探索贫血证治方药规律[J].中国实验方剂学杂志,2013,19(05):341-344.

TIAN Jing-ping1, ZHENG Guang2, GUO Hong-tao4, et al. To Explore Regularity of Syndrome and Therapeutic Principles on Anemia with Text Mining Technique[J]. Chinese journal of experimental traditional medical formulae, 2013, 19(5): 341-344.
[1]田景平,郑光,郭洪涛,蔡峰,吕诚,姜淼,张弛,吕爱平.文本挖掘探索贫血证治方药规律[J].中国实验方剂学杂志,2013,19(05):341-344. DOI： 10.13422/j.cnki.syfjx.2013.05.029.

TIAN Jing-ping1, ZHENG Guang2, GUO Hong-tao4, et al. To Explore Regularity of Syndrome and Therapeutic Principles on Anemia with Text Mining Technique[J]. Chinese journal of experimental traditional medical formulae, 2013, 19(5): 341-344. DOI： 10.13422/j.cnki.syfjx.2013.05.029.

摘要

目的:利用文本挖掘技术探索贫血中医证治方药规律。方法:在中国生物医学文献服务系统中收集治疗贫血的文献数据

采用基于敏感关键词频数统计的数据分层算法

挖掘贫血中医证候、治法、汤药、中药规律。这些规律通过一维频次表及二维网络图进行展示。结果:贫血证候以虚证为主

常见于气、血、阴、阳亏虚

病变涉及肝、脾、肾等脏腑。治法方面

以补法为多

各种补益方法常与活血化瘀法配合使用。汤药以补气、养血活血功效为主

以归脾汤、四物汤、当归补血汤为最常用。中药以补气养血活血药为主

当归、白术、人参、甘草、大枣、黄芪应用最多。结论:文本挖掘能够比较客观地总结中医证治方药规律

为临床应用提供有益的探索和参考。

Abstract

Objective:To explore the regularityof syndrome and therapeutic principles on anemia with text mining technique.Method: The data was from Chinese BioMedical literature database.The regularities of traditional Chinese medicine（TCM） syndrome

TCM treatment method

TCM decoction and herb on anemia were mined out by data slicing algorithm.The results were demonstrated with tables and networks.Result: The deficiency syndrome was the main TCM pattern of anemia.It generally included the deficiency of liver

spleen and kidney.Reinforcing method was usually used and it was often combined with the method of activating blood and resolving stasis.The herbal decoction was focus on the functions of replenishing qi

blood and activating blood.The decoctions such as Guipitang

Siwutang and Dangguibuxuetang were commonly used.The main function of herbal pieces was the same as decoctions.The herbal pieces such as angelica

atractylodes

ginseng

glycyrrhiza

jujube and astragaluswere most often used.Conclusion: Text mining approach provides an important method in exploring the regularities of syndrome and therapeutic principles.

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Related Author

TIAN Jing-ping

ZHENG Guang

GUO Hong-tao

CAI Feng

LV Cheng

JIANG Miao

ZHANG Chi

LV Ai-ping

Related Institution

Beijing University of Chinese Medicine

Xiyuan Hospital， China Academy of Chinese Medical Sciences

Shandong University of Traditional Chinese Medical,Ji’nan

First Affiliated Hospital in Huangpu Area,Zhongshan University

Shanghai University of Traditional Chinese Medicine

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