Predicting SARS-CoV-2 infection duration at hospital admission:a deep learning solution

COVID-19 cases are increasing around the globe with almost 5 million of deaths. We propose here a deep learning model capable of predicting the duration of the infection by means of information available at hospital admission. A total of 222 patients were enrolled in our observational study. Anagrap...

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Detalles Bibliográficos
Autores principales: Liuzzi, Piergiuseppe, Campagnini, Silvia, Fanciullacci, Chiara, Arienti, Chiara, Patrini, Michele, Carrozza, Maria Chiara, Mannini, Andrea
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Berlin Heidelberg 2022
Materias:
Original Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8739354/
https://www.ncbi.nlm.nih.gov/pubmed/34993693
http://dx.doi.org/10.1007/s11517-021-02479-8

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8739354/
https://www.ncbi.nlm.nih.gov/pubmed/34993693
http://dx.doi.org/10.1007/s11517-021-02479-8

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