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 …

Review of big data analytics, artificial intelligence and nature-inspired computing models towards accurate detection of COVID-19 pandemic cases and contact tracing

IE Agbehadji, BO Awuzie, AB Ngowi… - International journal of …, 2020 - mdpi.com
The emergence of the 2019 novel coronavirus (COVID-19) which was declared a pandemic
has spread to 210 countries worldwide. It has had a significant impact on health systems …

Deep learning methods for forecasting COVID-19 time-Series data: A Comparative study

A Zeroual, F Harrou, A Dairi, Y Sun - Chaos, solitons & fractals, 2020 - Elsevier
Abstract The novel coronavirus (COVID-19) has significantly spread over the world and
comes up with new challenges to the research community. Although governments imposing …

A deep learning and grad-CAM based color visualization approach for fast detection of COVID-19 cases using chest X-ray and CT-Scan images

H Panwar, PK Gupta, MK Siddiqui… - Chaos, Solitons & …, 2020 - Elsevier
The world is suffering from an existential global health crisis known as the COVID-19
pandemic. Countries like India, Bangladesh, and other developing countries are still having …

[HTML][HTML] Comparative analysis of Gated Recurrent Units (GRU), long Short-Term memory (LSTM) cells, autoregressive Integrated moving average (ARIMA), seasonal …

KE ArunKumar, DV Kalaga, CMS Kumar… - Alexandria engineering …, 2022 - Elsevier
Several machine learning and deep learning models were reported in the literature to
forecast COVID-19 but there is no comprehensive report on the comparison between …

[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 …

A computer-aided diagnosis system for the classification of COVID-19 and non-COVID-19 pneumonia on chest X-ray images by integrating CNN with sparse …

JL Gayathri, B Abraham, MS Sujarani… - Computers in biology and …, 2022 - Elsevier
Several infectious diseases have affected the lives of many people and have caused great
dilemmas all over the world. COVID-19 was declared a pandemic caused by a newly …

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 …

A review on deep learning techniques for the diagnosis of novel coronavirus (COVID-19)

MM Islam, F Karray, R Alhajj, J Zeng - Ieee Access, 2021 - ieeexplore.ieee.org
Novel coronavirus (COVID-19) outbreak, has raised a calamitous situation all over the world
and has become one of the most acute and severe ailments in the past hundred years. The …

Coronavirus disease (COVID-19) prevention and treatment methods and effective parameters: A systematic literature review

AM Rahmani, SYH Mirmahaleh - Sustainable cities and society, 2021 - Elsevier
Background and objective The coronavirus disease 2019 (COVID-19) outbreak was first
identified in Wuhan in December 2019, which was declared a pandemic virus by the world …