论文标题

在COVID-19文献​​中可视化有风险的疾病

Visualization of Diseases at Risk in the COVID-19 Literature

论文作者

Wolinski, Francis

论文摘要

本文提出了一个名为Vidar-19的项目,能够从绳索-19数据集中自动提取自动疾病,还可以被视为危险因素。该项目依赖于世卫组织维持的疾病的ICD-11分类。该命名法被用作提取机制的数据源,也用作结果的存储库。该项目是为Covid-19开发的,具有提取有风险疾病并计算相关指标的能力。该项目的结果在仪表板上呈现,该仪表板使用户能够探索具有分类层次结构中的危险的图形疾病。除了Covid-19,Vidar还具有更广泛的应用,可以直接用于处理其他病理的任何语料库。

This paper presents a project, named VIDAR-19, able to extract automatically diseases from the CORD-19 dataset, and also diseases which might be considered as risk factors. The project relies on the ICD-11 classification of diseases maintained by the WHO. This nomenclature is used as a data source of the extraction mechanism, and also as the repository for the results. Developed for the COVID-19, the project has the ability to extract diseases at risk and to calculate relevant indicators. The outcome of the project is presented in a dashboard which enables the user to explore graphically diseases at risk which are put back in the classification hierarchy. Beyond the COVID-19, VIDAR has much broader applications and might be directly used for any corpus dealing with other pathologies.

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