Machine learning-based scoring system to predict in-hospital outcomes in patients hospitalized with COVID-19()

BACKGROUND: The evolution of patients hospitalized with coronavirus disease 2019 (COVID-19) is still hard to predict, even after several months of dealing with the pandemic. AIMS: To develop and validate a score to predict outcomes in patients hospitalized with COVID-19. METHODS: All consecutive adu...

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Detalles Bibliográficos
Autores principales: Weizman, Orianne, Duceau, Baptiste, Trimaille, Antonin, Pommier, Thibaut, Cellier, Joffrey, Geneste, Laura, Panagides, Vassili, Marsou, Wassima, Deney, Antoine, Attou, Sabir, Delmotte, Thomas, Ribeyrolles, Sophie, Chemaly, Pascale, Karsenty, Clément, Giordano, Gauthier, Gautier, Alexandre, Chaumont, Corentin, Guilleminot, Pierre, Sagnard, Audrey, Pastier, Julie, Ezzouhairi, Nacim, Perin, Benjamin, Zakine, Cyril, Levasseur, Thomas, Ma, Iris, Chavignier, Diane, Noirclerc, Nathalie, Darmon, Arthur, Mevelec, Marine, Sutter, Willy, Mika, Delphine, Fauvel, Charles, Pezel, Théo, Waldmann, Victor, Cohen, Ariel, Bonnet, Guillaume
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Published by Elsevier Masson SAS. 2022
Materias:
Clinical Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9595484/
https://www.ncbi.nlm.nih.gov/pubmed/36376208
http://dx.doi.org/10.1016/j.acvd.2022.08.003

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9595484/
https://www.ncbi.nlm.nih.gov/pubmed/36376208
http://dx.doi.org/10.1016/j.acvd.2022.08.003

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