Predicting survival of Iranian COVID-19 patients infected by various variants including omicron from CT Scan images and clinical data using deep neural networks

Purpose: The rapid spread of the COVID-19 omicron variant virus has resulted in an overload of hospitals around the globe. As a result, many patients are deprived of hospital facilities, increasing mortality rates. Therefore, mortality rates can be reduced by efficiently assigning facilities to high...

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Detalles Bibliográficos
Autores principales: Ghafoori, Mahyar, Hamidi, Mehrab, Modegh, Rassa Ghavami, Aziz-Ahari, Alireza, Heydari, Neda, Tavafizadeh, Zeynab, Pournik, Omid, Emdadi, Sasan, Samimi, Saeed, Mohseni, Amir, Khaleghi, Mohammadreza, Dashti, Hamed, Rabiee, Hamid R.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2023
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10696006/
http://dx.doi.org/10.1016/j.heliyon.2023.e21965

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10696006/
http://dx.doi.org/10.1016/j.heliyon.2023.e21965

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