新冠肺炎病症与中药材对应关系研究

Relationship between COVID-19 infection pneumonia and traditional Chinese medicinal materials

利用文本挖掘技术和社会网络分析方法,基于中国知网(CNKI)数据库中新型冠状病毒肺炎相关文献数据构建分词词典、病症和药材词典,对文献的题名和摘要进行文本挖掘。将社会网络分析的对象拓展至病症和中药材,构建"病症-中药材"二模矩阵,对其进行共现可视化和量化分析,探索二者之间的对应关系。结果显示,部分病症和药材之间已经形成了较强且稳定的联系,与病症相比,药材之间的联系更为密切和深入。识别得到的病症和药材凝聚子群,能够为新型冠状病毒肺炎或其他肺炎的临床试验和相关研究提供参考。

The titles and abstracts of papers on COVID-19 infection pneumonia were mined by establishing dictionaries of participles,COVID-19 infection pneumonia and traditional Chinese medicinal materials using text mining techniques and social network analysis method based on CNKI-overed COVID-19 infection pneumonia data.The matrix for COVID-19 infection pneumonia and traditional Chinese medicinal materials was developed by extending the social network analysis to the COVID-19 infection pneumonia and traditional Chinese medicinal materials.The relationship between COVID-19 infection pneumonia and traditional Chinese medicinal materials was analyzed by co-occurrence visualization analysis and quantitative analysis respectively,which showed that COVID-19 infection pneumonia is closely and stably related with traditional Chinese medicinal materials,the relationship between traditional Chinese medicinal materials is closer and deeper than that between COVID-19 infection pneumonia.The cohesive subgroups of identified COVID-19 infection pneumonia and traditional Chinese medicinal materials can provide reference for the clinical trial and related studies of COVID-19 on infection pneumonia and other types of pneumonia.