Prognostic factors for severity and mortality in patients infected with COVID-19: A systematic review

A Izcovich, MA Ragusa, F Tortosa, MA Lavena Marzio… - PloS one, 2020 - journals.plos.org
Background and purpose The objective of our systematic review is to identify prognostic
factors that may be used in decision-making related to the care of patients infected with …

Applications of artificial intelligence in COVID-19 pandemic: A comprehensive review

M Khan, MT Mehran, ZU Haq, Z Ullah, SR Naqvi… - Expert systems with …, 2021 - Elsevier
During the current global public health emergency caused by novel coronavirus disease 19
(COVID-19), researchers and medical experts started working day and night to search for …

Epidemiology and clinical features of COVID-19: A review of current literature

JA Siordia Jr - Journal of Clinical Virology, 2020 - Elsevier
Coronavirus disease 2019 is a pandemic influencing the first half of the year 2020. The virus
has rapidly spread to many countries. Studies are rapidly published to share information …

A review of modern technologies for tackling COVID-19 pandemic

A Kumar, PK Gupta, A Srivastava - Diabetes & Metabolic Syndrome …, 2020 - Elsevier
Objective Science and technology sector constituting of data science, machine learning and
artificial intelligence are contributing towards COVID-19. The aim of the present study is to …

COVID-19 pandemic prediction for Hungary; a hybrid machine learning approach

G Pinter, I Felde, A Mosavi, P Ghamisi, R Gloaguen - Mathematics, 2020 - mdpi.com
Several epidemiological models are being used around the world to project the number of
infected individuals and the mortality rates of the COVID-19 outbreak. Advancing accurate …

IoMT amid COVID-19 pandemic: Application, architecture, technology, and security

AHM Aman, WH Hassan, S Sameen… - Journal of Network and …, 2021 - Elsevier
In many countries, the Internet of Medical Things (IoMT) has been deployed in tandem with
other strategies to curb the spread of COVID-19, improve the safety of front-line personnel …

[HTML][HTML] Machine learning approaches in COVID-19 diagnosis, mortality, and severity risk prediction: A review

N Alballa, I Al-Turaiki - Informatics in medicine unlocked, 2021 - Elsevier
The existence of widespread COVID-19 infections has prompted worldwide efforts to control
and manage the virus, and hopefully curb it completely. One important line of research is the …

COVID-19 in older people: a rapid clinical review

FE Lithander, S Neumann, E Tenison, K Lloyd… - Age and …, 2020 - academic.oup.com
Introduction the COVID-19 pandemic poses a high risk to older people. The aim of this
article is to provide a rapid overview of the COVID-19 literature, with a specific focus on older …

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 …

Open resource of clinical data from patients with pneumonia for the prediction of COVID-19 outcomes via deep learning

W Ning, S Lei, J Yang, Y Cao, P Jiang… - Nature biomedical …, 2020 - nature.com
Data from patients with coronavirus disease 2019 (COVID-19) are essential for guiding
clinical decision making, for furthering the understanding of this viral disease, and for …