Visualization of Diseases at Risk in the COVID-19 Literature

TL;DR

This paper introduces VIDAR-19, a tool that automatically extracts and visualizes diseases and risk factors related to COVID-19 from literature, utilizing ICD-11 classification for comprehensive analysis and broader health applications.

Contribution

The paper presents VIDAR-19, a novel system for automatic disease extraction and risk analysis from COVID-19 literature using ICD-11, with a visual dashboard for exploration.

Findings

Effective extraction of diseases and risk factors from COVID-19 literature.

Visualization of disease hierarchy and risk indicators.

Potential for broader health data applications.

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.