Visualization of Diseases at Risk in the COVID-19 Literature

May 02, 2020 Β· Declared Dead Β· πŸ› arXiv.org

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Authors Francis Wolinski arXiv ID 2005.00848 Category cs.IR: Information Retrieval Citations 9 Venue arXiv.org Last Checked 4 months ago
Abstract
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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