Exploring Li-Fa-Fang-Yao rules of major depressive disorder in traditional Chinese medicine through text mining

Junping Zhan, Guang Zheng, Mengmeng Song, Tong Wei, Miao Jiang, Cheng Lu, Aiping LYU

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

1 Citation (Scopus)

Abstract

In traditional Chinese medicine, rules of Li-Fa-Fang-Yao is of critical importance in clinical practices. Li-Fa-Fang-Yao, which means principles, methods, formulae, and Chinese herbal medicines respectively, indicate the four basic steps of diagnosis and treatment: determining the cause, mechanism and location of the disease according to the medical theories and principles, then deciding the treatment principle and method, and finally selecting a formula as well as proper Chinese herbal medicines. In this paper, focused on major depressive disorder, we explored the rules of Li-Fa-Fang-Yao within the framework of traditional Chinese medicine. Through calculation, three clusters of Li-Fa-Fang-Yao on major depressive disorder were found based on the syndrome differentiation. What's more, these three clusters can also be validated by textbooks of traditional Chinese medicine.

Original languageEnglish
Title of host publicationProceedings - 2013 IEEE International Conference on Bioinformatics and Biomedicine, IEEE BIBM 2013
Pages460-464
Number of pages5
DOIs
Publication statusPublished - 2013
Event2013 IEEE International Conference on Bioinformatics and Biomedicine, IEEE BIBM 2013 - Shanghai, China
Duration: 18 Dec 201321 Dec 2013

Publication series

NameProceedings - 2013 IEEE International Conference on Bioinformatics and Biomedicine, IEEE BIBM 2013

Conference

Conference2013 IEEE International Conference on Bioinformatics and Biomedicine, IEEE BIBM 2013
Country/TerritoryChina
CityShanghai
Period18/12/1321/12/13

Scopus Subject Areas

  • Biomedical Engineering

User-Defined Keywords

  • depression
  • Li-Fa-Fang-Yao
  • text mining
  • traditional Chinese medicine
  • validation

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