Identifying Radiological Findings Related to COVID-19 from Medical Literature

• URL: http://arxiv.org/abs/2004.01862v1
• Date: Sat, 4 Apr 2020 05:33:21 GMT
• Title: Identifying Radiological Findings Related to COVID-19 from Medical Literature
• Authors: Yuxiao Liang, Pengtao Xie
• Abstract summary: Radiological findings are important sources of information in guiding the diagnosis and treatment of COVID-19. Existing studies on how radiological findings are correlated with COVID-19 are conducted separately by different hospitals. We apply our method to the CORD-19 dataset and successfully extract a set of radiological findings that are closely tied to COVID-19.
• Score: 16.310353152265158
• License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
• Abstract: Coronavirus disease 2019 (COVID-19) has infected more than one million individuals all over the world and caused more than 55,000 deaths, as of April 3 in 2020. Radiological findings are important sources of information in guiding the diagnosis and treatment of COVID-19. However, the existing studies on how radiological findings are correlated with COVID-19 are conducted separately by different hospitals, which may be inconsistent or even conflicting due to population bias. To address this problem, we develop natural language processing methods to analyze a large collection of COVID-19 literature containing study reports from hospitals all over the world, reconcile these results, and draw unbiased and universally-sensible conclusions about the correlation between radiological findings and COVID-19. We apply our method to the CORD-19 dataset and successfully extract a set of radiological findings that are closely tied to COVID-19.

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