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

• Published in: PloS one Vol. 15; no. 9; p. e0239694
• Main Author: Alag, Shray
• Format: Journal Article
• Language: English
• Published: United States Public Library of Science 30.09.2020; Public Library of Science (PLoS)
• Subjects: API (Computer programming); Betacoronavirus; Biological Ontologies; Biology and Life Sciences; Clinical trials; Clinical Trials as Topic; Computational Biology; Coronavirus Infections - therapy; Coronaviruses; COVID-19; Disease transmission; Drugs; Epidemics; Extensible Markup Language; Genotype & phenotype; Humans; Interfaces; Internet; Intervention; Java; Medical research; Medical Subject Headings; Medical Subject Headings-MeSH; Medicine and Health Sciences; Methods; Mutation; Natural Language Processing; Ontology; Pandemics; People and Places; Phenotype; Phenotypes; Pneumonia, Viral - therapy; Proteins; Research and Analysis Methods; SARS-CoV-2; Secondary data analysis; Severe acute respiratory syndrome coronavirus 2; Software; Trends; Uniqueness; United States; Vaccines; Viral diseases; Viruses; United States; United States > US

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...