Understanding the temporal evolution of COVID-19 research through machine learning and natural language processing

The outbreak of the novel coronavirus disease 2019 (COVID-19), caused by the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has been continuously affecting human lives and communities around the world in many ways, from cities under lockdown to new social experiences. Although in most...

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Detalles Bibliográficos
Autores principales: Ebadi, Ashkan, Xi, Pengcheng, Tremblay, Stéphane, Spencer, Bruce, Pall, Raman, Wong, Alexander
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer International Publishing 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7676411/
https://www.ncbi.nlm.nih.gov/pubmed/33230352
http://dx.doi.org/10.1007/s11192-020-03744-7

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7676411/
https://www.ncbi.nlm.nih.gov/pubmed/33230352
http://dx.doi.org/10.1007/s11192-020-03744-7

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