Projecting COVID-19 disease severity in cancer patients using purposefully-designed machine learning

BACKGROUND: Accurately predicting outcomes for cancer patients with COVID-19 has been clinically challenging. Numerous clinical variables have been retrospectively associated with disease severity, but the predictive value of these variables, and how multiple variables interact to increase risk, rem...

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Detalles Bibliográficos
Autores principales: Navlakha, Saket, Morjaria, Sejal, Perez-Johnston, Rocio, Zhang, Allen, Taur, Ying
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2021
Materias:
Technical Advance
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8092998/
https://www.ncbi.nlm.nih.gov/pubmed/33941093
http://dx.doi.org/10.1186/s12879-021-06038-2

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8092998/
https://www.ncbi.nlm.nih.gov/pubmed/33941093
http://dx.doi.org/10.1186/s12879-021-06038-2

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