Utilization of machine-learning models to accurately predict the risk for critical COVID-19

Among patients with Coronavirus disease (COVID-19), the ability to identify patients at risk for deterioration during their hospital stay is essential for effective patient allocation and management. To predict patient risk for critical COVID-19 based on status at admission using machine-learning mo...

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Detalles Bibliográficos
Autores principales: Assaf, Dan, Gutman, Ya’ara, Neuman, Yair, Segal, Gad, Amit, Sharon, Gefen-Halevi, Shiraz, Shilo, Noya, Epstein, Avi, Mor-Cohen, Ronit, Biber, Asaf, Rahav, Galia, Levy, Itzchak, Tirosh, Amit
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer International Publishing 2020
Materias:
Im - Original
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7433773/
https://www.ncbi.nlm.nih.gov/pubmed/32812204
http://dx.doi.org/10.1007/s11739-020-02475-0

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7433773/
https://www.ncbi.nlm.nih.gov/pubmed/32812204
http://dx.doi.org/10.1007/s11739-020-02475-0

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