Review on COVID‐19 diagnosis models based on machine learning and deep learning approaches

ZAA Alyasseri, MA Al‐Betar, IA Doush… - Expert …, 2022 - Wiley Online Library
COVID‐19 is the disease evoked by a new breed of coronavirus called the severe acute
respiratory syndrome coronavirus 2 (SARS‐CoV‐2). Recently, COVID‐19 has become a …

Applications of artificial intelligence in battling against covid-19: A literature review

M Tayarani - Chaos, Solitons and Fractals, 2020 - researchprofiles.herts.ac.uk
Colloquially known as coronavirus, the Severe Acute Respiratory Syndrome CoronaVirus 2
(SARS-CoV-2), that causes CoronaVirus Disease 2019 (COVID-19), has become a matter of …

Structural racism and COVID-19 in the USA: a county-level empirical analysis

SB Tan, P DeSouza, M Raifman - Journal of racial and ethnic health …, 2022 - Springer
Substantial health disparities exist across race/ethnicity in the USA, with Black Americans
often most affected. The current COVID-19 pandemic is no different. While there have been …

COVID-19 detection using federated machine learning

M Abdul Salam, S Taha, M Ramadan - Plos one, 2021 - journals.plos.org
The current COVID-19 pandemic threatens human life, health, and productivity. AI plays an
essential role in COVID-19 case classification as we can apply machine learning models on …

Proteomics and machine learning approaches reveal a set of prognostic markers for COVID-19 severity with drug repurposing potential

K Suvarna, D Biswas, MGJ Pai, A Acharjee… - Frontiers in …, 2021 - frontiersin.org
The pestilential pathogen SARS-CoV-2 has led to a seemingly ceaseless pandemic of
COVID-19. The healthcare sector is under a tremendous burden, thus necessitating the …

A self-activated cnn approach for multi-class chest-related COVID-19 detection

N Rehman, MS Zia, T Meraj, HT Rauf… - Applied Sciences, 2021 - mdpi.com
Chest diseases can be dangerous and deadly. They include many chest infections such as
pneumonia, asthma, edema, and, lately, COVID-19. COVID-19 has many similar symptoms …

Comprehensive survey of using machine learning in the COVID-19 pandemic

N El-Rashidy, S Abdelrazik, T Abuhmed, E Amer, F Ali… - Diagnostics, 2021 - mdpi.com
Since December 2019, the global health population has faced the rapid spreading of
coronavirus disease (COVID-19). With the incremental acceleration of the number of …

A review of the machine learning algorithms for COVID-19 case analysis

S Tiwari, P Chanak, SK Singh - IEEE Transactions on Artificial …, 2022 - ieeexplore.ieee.org
The purpose of this article is to see how machine learning (ML) algorithms and applications
are used in the COVID-19 inquiry and for other purposes. The available traditional methods …

Development of a machine learning algorithm to predict intubation among hospitalized patients with COVID-19

V Arvind, JS Kim, BH Cho, E Geng, SK Cho - Journal of critical care, 2021 - Elsevier
Purpose The purpose of this study is to develop a machine learning algorithm to predict
future intubation among patients diagnosed or suspected with COVID-19. Materials and …

X‐ray equipped with artificial intelligence: changing the COVID‐19 diagnostic paradigm during the pandemic

M Ghaderzadeh, M Aria, F Asadi - BioMed Research …, 2021 - Wiley Online Library
Purpose. Due to the excessive use of raw materials in diagnostic tools and equipment
during the COVID‐19 pandemic, there is a dire need for cheaper and more effective …