Prediction of COVID-19 individual susceptibility using demographic data: A case study on Saudi Arabia

A Althnian, A Abou Elwafa, N Aloboud… - Procedia Computer …, 2020 - Elsevier
The transmission dynamics of COVID-19 depend largely on the structure of the underlying
contact network and individuals susceptibility. The latter factor is a primary concern of Covid …

Machine learning based prognostic model and mobile application software platform for predicting infection susceptibility of COVID-19 using healthcare data

R Srivatsan, PN Indi, S Agrahari, S Menon… - Research on Biomedical …, 2020 - Springer
Introduction From public health perspectives of COVID-19 pandemic, accurate estimates of
infection severity of individuals are extremely valuable for the informed decision-making and …

Prediction models for covid-19 integrating age groups, gender, and underlying conditions

I Ashraf, WS Alnumay, R Ali, S Hur… - Computers …, 2021 - e-space.mmu.ac.uk
The COVID-19 pandemic has caused hundreds of thousands of deaths, millions of infections
worldwide, and the loss of trillions of dollars for many large economies. It poses a grave …

Using machine learning to assess covid-19 risks

A Prakash, S Muthya, TP Arokiaswamy, RS Nair - 2020 - pesquisa.bvsalud.org
IMPORTANCEIdentifying potential Covid-19 patients in the general population is a huge
challenge at the moment. Given the low availability of infected Covid-19 patients clinical …

Impact of social determinants on COVID-19 infections: a comprehensive study from Saudi Arabia governorates

ASA Yaseen - Humanities and Social Sciences Communications, 2022 - nature.com
The last two years have been marked by the emergence of Coronavirus. The pandemic has
spread in most countries, causing substantial changes all over the world. Many studies …

Artificial intelligence approaches to predict COVID-19 infection in Senegal

A Diallo, G Camara, F Camara, A Mboup - Procedia Computer Science, 2022 - Elsevier
The SARS-CoV2 virus, which causes COVID-19 (coronavirus disease) has become a
pandemic and has expanded all over the world. Because of increasing number of cases day …

Machine learning-based COVID-19 diagnosis by demographic characteristics and clinical data

F Gorji, S Shafiekhani, P Namdar… - … in Respiratory Medicine, 2022 - mdpi.com
Introduction: To facilitate rapid and effective diagnosis of COVID-19, effective screening can
alleviate the challenges facing healthcare systems. We aimed to develop a machine …

Machine learning for analyzing non-countermeasure factors affecting early spread of COVID-19

V Janko, G Slapničar, E Dovgan, N Reščič… - International Journal of …, 2021 - mdpi.com
The COVID-19 pandemic affected the whole world, but not all countries were impacted
equally. This opens the question of what factors can explain the initial faster spread in some …

Individual factors associated with COVID-19 infection: a machine learning study

T Ramírez-del Real, M Martínez-García… - Frontiers in Public …, 2022 - frontiersin.org
The fast, exponential increase of COVID-19 infections and their catastrophic effects on
patients' health have required the development of tools that support health systems in the …

[PDF][PDF] Prediction of COVID-19 patient using supervised machine learning algorithm

M Buvana, K Muthumayil - Sains Malaysiana, 2021 - journalarticle.ukm.my
One of the most symptomatic diseases is COVID-19. Early and precise physiological
measurement-based prediction of breathing will minimize the risk of COVID-19 by a …