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Study on Core prescription of traditional Chinese Medicine for Prevention of viral Respiratory Infectious Diseases based on complex Network

机译:基于复杂网络的病毒性呼吸道传染病预防病毒呼吸道传染病的核心方

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Based on the complex network analysis technology, the core drugs and their compatibility rules of traditional Chinese medicine for the prevention of viral respiratory infectious diseases were excavated, and the core prescriptions of traditional Chinese medicine for the prevention of viral respiratory infectious diseases were analyzed. Firstly, the standard database of prescriptions for viral respiratory infectious diseases is constructed by combining the relevant theories of traditional Chinese medicine and database. Secondly, at the micro level, the weighted correlation network of traditional Chinese medicine prescriptions for three typical diseases COVID-19, H1N1 and SARS is constructed, and at the macro level, the weighted correlation network of traditional Chinese medicine prescriptions for viral respiratory infectious diseases is constructed. Then use Python3.6 software to analyze the node strength and compatibility of the data, use Gephi9.2 software to visualize the data, and draw a schematic diagram of complex network data analysis. By using the relevant theoretical knowledge of complex network, statistics and pharmacology, this paper studies and analyzes the weighted association network of traditional Chinese medicine prescriptions of single disease and multiple diseases from the aspects of structure and function. dig out the broad-spectrum core prescription of traditional Chinese medicine for the prevention of viral respiratory infectious diseases, and provide data reference for the active prevention of viral respiratory infectious diseases. So as to provide more scientific ideas and basis for TCM experts in formulating preventive prescriptions for traditional Chinese medicine.
机译:基于复杂的网络分析技术,挖掘了核心药物及其中医的兼容性规则,防止病毒性呼吸道传染病患者,分析了中药核心处方预防病毒性呼吸道传染病。首先,通过组合中药和数据库的相关理论来构建病毒呼吸道传染病的标准数据库。其次,在微观水平下,构建了三种典型疾病的中药处方的加权相关网络,H1N1和SARS构建,并且在宏观水平,中医呼吸道传染病中的中药处方的加权相关网络是建造的。然后使用Python3.6软件分析节点强度和数据兼容性,使用Gephi9.2软件可视化数据,并绘制复杂网络数据分析的示意图。通过使用复杂网络,统计和药理学的相关理论知识,本文研究并分析了中药中医患者的单一疾病和多种疾病的加权关联网络。挖掘中药的广谱核心方向预防病毒性呼吸道传染病,并为病毒呼吸道传染病的积极预防提供数据参考。以便为制订中医预防处方提供更多科学专家的科学思路和基础。

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