Analysis of COVID-19 clinical trials: A data-driven, ontology-based, and natural language processing approach.

ABSTRACT: With the novel COVID-19 pandemic disrupting and threatening the lives of millions, researchers and clinicians have been recently conducting clinical trials at an unprecedented rate to learn more about the virus and potential drugs/treatments/vaccines to treat its infection. As a result of the influx of clinical trials, researchers, clinicians, and the lay public, now more than ever, face a significant challenge in keeping up-to-date with the rapid rate of discoveries and advances. To remedy this problem, this research mined the ClinicalTrials.gov corpus to extract COVID-19 related clinical trials, produce unique reports to summarize findings and make the meta-data available via Application Programming Interfaces (APIs). Unique reports were created for each drug/intervention, Medical Subjec

SUBMITTER: Alag S 

PROVIDER: S-EPMC7526926 | biostudies-literature | 2020

REPOSITORIES: biostudies-literature