Proceedings of the 2nd International Conference on Biomedical and Biological Engineering 2017 (BBE 2017)

Use Text Mining and Complex Networks to Analyze TCM Syndromes

Authors
Xing ZHAI, Ping WANG, You-liang HUANG
Corresponding Author
Xing ZHAI
Available Online May 2017.
DOI
https://doi.org/10.2991/bbe-17.2017.78How to use a DOI?
Keywords
Text mining, Complex network, Traditional Chinese medicine.
Abstract
Objective: To make intrinsic biological distinctions between qi deficiency pattern and qi stagnation pattern with genes related to NEI. Methods: Establish a data dictionary of NEI-related genes and a keyword lexicon of qi deficiency pattern and qi stagnation pattern. Then retrieve relevant literature on Pubmed database. Obtain compositions of characteristic NEI-related genes of qi deficiency pattern and qi stagnation pattern by using text-mining methodto explore different bioactive materials between the two syndromes. Results: Two kinds of syndromes and their biological networks were constructed. The "qi deficiency" and "qi stagnation" genes based on NEI network were excavated. Conclusion: The genes of qi stagnation pattern relate closely with nerve and endocrine, while those of qi deficiency pattern have a close relationship with the immune system. The intrinsic biological characterizations of TCM patterns can be effectively identified at the level of NEI.
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Proceedings
2nd International Conference on Biomedical and Biological Engineering 2017 (BBE 2017)
Part of series
Advances in Biological Sciences Research
Publication Date
May 2017
ISBN
978-94-6252-362-3
ISSN
2468-5747
DOI
https://doi.org/10.2991/bbe-17.2017.78How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

TY  - CONF
AU  - Xing ZHAI
AU  - Ping WANG
AU  - You-liang HUANG
PY  - 2017/05
DA  - 2017/05
TI  - Use Text Mining and Complex Networks to Analyze TCM Syndromes
BT  - 2nd International Conference on Biomedical and Biological Engineering 2017 (BBE 2017)
PB  - Atlantis Press
SN  - 2468-5747
UR  - https://doi.org/10.2991/bbe-17.2017.78
DO  - https://doi.org/10.2991/bbe-17.2017.78
ID  - ZHAI2017/05
ER  -