Machine learning model from a Spanish cohort for prediction of SARS-COV-2 mortality risk and critical patients

Patients affected by SARS-COV-2 have collapsed healthcare systems around the world. Consequently, different challenges arise regarding the prediction of hospital needs, optimization of resources, diagnostic triage tools and patient evolution, as well as tools that allow us to analyze which are the f...

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Detalles Bibliográficos
Autores principales: Reina Reina, Alejandro, Barrera, José M., Valdivieso, Bernardo, Gas, María-Eugenia, Maté, Alejandro, Trujillo, Juan C.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8986770/
https://www.ncbi.nlm.nih.gov/pubmed/35388055
http://dx.doi.org/10.1038/s41598-022-09613-y

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8986770/
https://www.ncbi.nlm.nih.gov/pubmed/35388055
http://dx.doi.org/10.1038/s41598-022-09613-y

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