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

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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Bibliographic Details
Main Authors: Mahyar Ghafoori, Mehrab Hamidi, Rassa Ghavami Modegh, Alireza Aziz-Ahari, Neda Heydari, Zeynab Tavafizadeh, Omid Pournik, Sasan Emdadi, Saeed Samimi, Amir Mohseni, Mohammadreza Khaleghi, Hamed Dashti, Hamid R. Rabiee
Format: Article
Language:English
Published: Elsevier 2023-11-01
Series:Heliyon
Subjects:
Computer-aided diagnosis
Computerized tomography imaging
Deep neural networks
Omicron variant
Multimodal analysis
Online Access:http://www.sciencedirect.com/science/article/pii/S2405844023091739

Internet

http://www.sciencedirect.com/science/article/pii/S2405844023091739

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