LitCovid ensemble learning for COVID-19 multi-label classification

The Coronavirus Disease 2019 (COVID-19) pandemic has shifted the focus of research worldwide, and more than 10 000 new articles per month have concentrated on COVID-19–related topics. Considering this rapidly growing literature, the efficient and precise extraction of the main topics of COVID-19–rel...

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Detalles Bibliográficos
Autores principales: Gu, Jinghang, Chersoni, Emmanuele, Wang, Xing, Huang, Chu-Ren, Qian, Longhua, Zhou, Guodong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2022
Materias:
Original Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9693804/
https://www.ncbi.nlm.nih.gov/pubmed/36426767
http://dx.doi.org/10.1093/database/baac103

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9693804/
https://www.ncbi.nlm.nih.gov/pubmed/36426767
http://dx.doi.org/10.1093/database/baac103

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