Comprehensively identifying Long Covid articles with human-in-the-loop machine learning

A significant percentage of COVID-19 survivors experience ongoing multisystemic symptoms that often affect daily living, a condition known as Long Covid or post-acute-sequelae of SARS-CoV-2 infection. However, identifying scientific articles relevant to Long Covid is challenging since there is no st...

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Detalles Bibliográficos
Autores principales: Leaman, Robert, Islamaj, Rezarta, Allot, Alexis, Chen, Qingyu, Wilbur, W. John, Lu, Zhiyong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2022
Materias:
Descriptor
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9712067/
https://www.ncbi.nlm.nih.gov/pubmed/36471749
http://dx.doi.org/10.1016/j.patter.2022.100659

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9712067/
https://www.ncbi.nlm.nih.gov/pubmed/36471749
http://dx.doi.org/10.1016/j.patter.2022.100659

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