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The study on traditional Chinese medicine syndromes based on text mining method

机译:基于文本挖掘方法的中医证候研究

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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.
机译:目的:本研究着眼于气虚型和气滞型与NEI相关基因的内在生物学区别。方法:使用与疾病相关的关键字搜索Pubmed中的文献。收集和下载与疾病有关的文献。通过文本挖掘方法探究两种证候之间不同的生物活性物质,获得气虚证和气滞证的特征性NEI相关基因组成。结果:构建了两种证候及其生物学网络。挖掘了基于NEI网络的“气虚”和“气滞”基因。结论:气滞型基因与神经,内分泌密切相关,气虚型基因与免疫系统密切相关。中医模式的内在生物学特征可以在NEI水平上得到有效识别。

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