An individualized algorithm to predict mortality in COVID-19 pneumonia: a machine learning based study

INTRODUCTION: Identifying SARS-CoV-2 patients at higher risk of mortality is crucial in the management of a pandemic. Artificial intelligence techniques allow one to analyze large amounts of data to find hidden patterns. We aimed to develop and validate a mortality score at admission for COVID-19 ba...

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Detalles Bibliográficos
Autores principales: Laino, Maria Elena, Generali, Elena, Tommasini, Tobia, Angelotti, Giovanni, Aghemo, Alessio, Desai, Antonio, Morandini, Pierandrea, Stefanini, Giulio G., Lleo, Ana, Voza, Antonio, Savevski, Victor
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Termedia Publishing House 2022
Materias:
COVID-19/SARS-CoV-2
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9103632/
https://www.ncbi.nlm.nih.gov/pubmed/35591841
http://dx.doi.org/10.5114/aoms/144980

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9103632/
https://www.ncbi.nlm.nih.gov/pubmed/35591841
http://dx.doi.org/10.5114/aoms/144980

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