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

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...

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Veröffentlicht in:	PloS one Jg. 15; H. 9; S. e0239694
1. Verfasser:	Alag, Shray
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	United States Public Library of Science 30.09.2020 Public Library of Science (PLoS)
Schlagworte:	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
ISSN:	1932-6203, 1932-6203
Online-Zugang:	Volltext
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