COVID-Net Biochem: an explainability-driven framework to building machine learning models for predicting survival and kidney injury of COVID-19 patients from clinical and biochemistry data

Since the World Health Organization declared COVID-19 a pandemic in 2020, the global community has faced ongoing challenges in controlling and mitigating the transmission of the SARS-CoV-2 virus, as well as its evolving subvariants and recombinants. A significant challenge during the pandemic has no...

Descripción completa

Detalles Bibliográficos
Autores principales: Aboutalebi, Hossein, Pavlova, Maya, Shafiee, Mohammad Javad, Florea, Adrian, Hryniowski, Andrew, Wong, Alexander
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10562395/
https://www.ncbi.nlm.nih.gov/pubmed/37813920
http://dx.doi.org/10.1038/s41598-023-42203-0

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10562395/
https://www.ncbi.nlm.nih.gov/pubmed/37813920
http://dx.doi.org/10.1038/s41598-023-42203-0

Ejemplares similares