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Rule-based text mining of Chinese herbal medicines with patterns in traditional Chinese medicine for chronic obstructive pulmonary disease

  • Junping Zhan
  • , Guang Zheng
  • , Miao Jiang
  • , Cheng Lu
  • , Hongtao Guo
  • , Aiping Lu*
  • *Corresponding author for this work

Research output: Chapter in book/report/conference proceedingConference proceedingpeer-review

Abstract

Through several thousands years of clinical research and theoretical thoughts, traditional Chinese medicine (TCM) has accumulated rich experiences on Chronic Obstructive Pulmonary Disease (COPD). However, the usage of Chinese herbal medicines in formulae are flexible in TCM clinical practice according to pattern differentiation, so, it is important to get the composition rules of Chinese herbal medicines through literatures. Based on the keyword list of Chinese herbal medicine, through the keyword filtering skill, we can get the lists of Chinese herbal medicines. However, for Chinese herbal medicines, they are not only mentioned in the plain format of herb names, but also densely described in the form of formulae (also called Chu-Fang, Yao-Fang or Tang-Yao in Chinese). As formulae are composed by Chinese herbal medicines according the theory of traditional Chinese medicine, so, it is necessary to filtering them out and de-compose them back into specified Chinese herbal medicines. In this study, take COPD for example, we explored the composition-rules of Chinese herbal medicines and the network of TCM pattern with them. By doing this, we might get a deeper understanding of composition-rules of Chinese herbal medicines in clinical practice which might be a better reference for both clinical practise and research.

Original languageEnglish
Title of host publicationWeb Information Systems and Mining
Subtitle of host publicationInternational Conference, WISM 2012, Chengdu, China, October 26-28, 2012, Proceedings
EditorsFu Lee Wang, Jingsheng Lei, Zhiguo Gong, Xiangfeng Luo
Place of PublicationHeidelberg
PublisherSpringer Berlin Heidelberg
Pages510-520
Number of pages11
ISBN (Electronic)9783642334696
ISBN (Print)9783642334689
DOIs
Publication statusPublished - 31 Aug 2012
Event2012 International Conference on Web Information Systems and Mining - Chengdu, China
Duration: 26 Oct 201228 Oct 2012
https://link.springer.com/book/10.1007/978-3-642-33469-6#publish-with-us (Conference proceeding)

Publication series

NameLecture Notes in Computer Science
Volume7529
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349
NameInformation Systems and Applications, incl. Internet/Web, and HCI
ISSN (Print)2946-1634
ISSN (Electronic)2946-1642
NameWISM: International Conference on Web Information Systems and Mining

Conference

Conference2012 International Conference on Web Information Systems and Mining
Abbreviated titleWISM 2012
Country/TerritoryChina
CityChengdu
Period26/10/1228/10/12
Internet address

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

User-Defined Keywords

  • Chinese herbal medicine
  • Chronic obstructive pulmonary disease
  • Composition rule
  • Text mining
  • Traditional Chinese medicine

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