A hybrid machine learning/deep learning COVID-19 severity predictive model from CT images and clinical data

COVID-19 clinical presentation and prognosis are highly variable, ranging from asymptomatic and paucisymptomatic cases to acute respiratory distress syndrome and multi-organ involvement. We developed a hybrid machine learning/deep learning model to classify patients in two outcome categories, non-IC...

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Detalles Bibliográficos
Autores principales: Chieregato, Matteo, Frangiamore, Fabio, Morassi, Mauro, Baresi, Claudia, Nici, Stefania, Bassetti, Chiara, Bnà, Claudio, Galelli, Marco
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/PMC8919158/
https://www.ncbi.nlm.nih.gov/pubmed/35288579
http://dx.doi.org/10.1038/s41598-022-07890-1

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8919158/
https://www.ncbi.nlm.nih.gov/pubmed/35288579
http://dx.doi.org/10.1038/s41598-022-07890-1

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