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Comparing machine learning algorithms for predicting ICU admission and mortality in COVID-19
As predicting the trajectory of COVID-19 is challenging, machine learning models could assist physicians in identifying high-risk individuals. This study compares the performance of 18 machine learning algorithms for predicting ICU admission and mortality among COVID-19 patients. Using COVID-19 pati...
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| Publicado no: | NPJ Digit Med |
|---|---|
| Main Authors: | , , , , , , , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Nature Publishing Group UK
2021
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC8140139/ https://ncbi.nlm.nih.gov/pubmed/34021235 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1038/s41746-021-00456-x |
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