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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Detalles Bibliográficos
Autores principales: Subudhi, Sonu, Verma, Ashish, Patel, Ankit B., Hardin, C. Corey, Khandekar, Melin J., Lee, Hang, McEvoy, Dustin, Stylianopoulos, Triantafyllos, Munn, Lance L., Dutta, Sayon, Jain, Rakesh K.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8140139/
https://www.ncbi.nlm.nih.gov/pubmed/34021235
http://dx.doi.org/10.1038/s41746-021-00456-x

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8140139/
https://www.ncbi.nlm.nih.gov/pubmed/34021235
http://dx.doi.org/10.1038/s41746-021-00456-x

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