Early prediction of in-hospital death of COVID-19 patients: a machine-learning model based on age, blood analyses, and chest x-ray score

An early-warning model to predict in-hospital mortality on admission of COVID-19 patients at an emergency department (ED) was developed and validated using a machine-learning model. In total, 2782 patients were enrolled between March 2020 and December 2020, including 2106 patients (first wave) and 6...

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Detalles Bibliográficos
Autores principales: Garrafa, Emirena, Vezzoli, Marika, Ravanelli, Marco, Farina, Davide, Borghesi, Andrea, Calza, Stefano, Maroldi, Roberto
Formato: Online Artículo Texto
Lenguaje:English
Publicado: eLife Sciences Publications, Ltd 2021
Materias:
Biochemistry and Chemical Biology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8550757/
https://www.ncbi.nlm.nih.gov/pubmed/34661530
http://dx.doi.org/10.7554/eLife.70640

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8550757/
https://www.ncbi.nlm.nih.gov/pubmed/34661530
http://dx.doi.org/10.7554/eLife.70640

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