The Study On Traditional Chinese Medicine Syndromes Based On Text Mining Method

2017 IEEE 3RD INFORMATION TECHNOLOGY AND MECHATRONICS ENGINEERING CONFERENCE (ITOEC)(2017)

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摘要
Objective: This research focused on intrinsic biological distinctions between qi deficiency pattern and qi stagnation pattern with genes related to NEI. Methods: Using the keywords related to a disease to search literature in Pubmed. Collection and download literature related to a disease. Obtain compositions of characteristic NEI-related genes of qi deficiency pattern and qi stagnation pattern by using text-mining method to 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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关键词
Text mining, Complex network, Traditional Chinese medicine
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