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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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| Publicado no: | BMC Infect Dis |
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| Main Authors: | , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
BioMed Central
2021
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC8092998/ https://ncbi.nlm.nih.gov/pubmed/33941093 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s12879-021-06038-2 |
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