Leveraging data science to combat COVID-19: A comprehensive review

S Latif, M Usman, S Manzoor, W Iqbal… - IEEE Transactions …, 2020 - ieeexplore.ieee.org
COVID-19, an infectious disease caused by the SARS-CoV-2 virus, was declared a
pandemic by the World Health Organisation (WHO) in March 2020. By mid-August 2020 …

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 …

[HTML][HTML] A combined deep CNN-LSTM network for the detection of novel coronavirus (COVID-19) using X-ray images

MZ Islam, MM Islam, A Asraf - Informatics in medicine unlocked, 2020 - Elsevier
Nowadays, automatic disease detection has become a crucial issue in medical science due
to rapid population growth. An automatic disease detection framework assists doctors in the …

Automated deep transfer learning-based approach for detection of COVID-19 infection in chest X-rays

NN Das, N Kumar, M Kaur, V Kumar, D Singh - Irbm, 2022 - Elsevier
The most widely used novel coronavirus (COVID-19) detection technique is a real-time
polymerase chain reaction (RT-PCR). However, RT-PCR kits are costly and take 6-9 hours …

PulDi-COVID: Chronic obstructive pulmonary (lung) diseases with COVID-19 classification using ensemble deep convolutional neural network from chest X-ray …

YH Bhosale, KS Patnaik - Biomedical Signal Processing and Control, 2023 - Elsevier
Abstract Background and Objective In the current COVID-19 outbreak, efficient testing of
COVID-19 individuals has proven vital to limiting and arresting the disease's accelerated …

Covid-19 imaging tools: How big data is big?

KC Santosh, S Ghosh - Journal of Medical Systems, 2021 - Springer
In this paper, considering year 2020 and Covid-19, we analyze medical imaging tools and
their performance scores in accordance with the dataset size and their complexity. For this …

Artificial intelligence-driven assessment of radiological images for COVID-19

Y Bouchareb, PM Khaniabadi, F Al Kindi… - Computers in biology …, 2021 - Elsevier
Artificial Intelligence (AI) methods have significant potential for diagnosis and prognosis of
COVID-19 infections. Rapid identification of COVID-19 and its severity in individual patients …

Machine learning-based research for COVID-19 detection, diagnosis, and prediction: A survey

Y Meraihi, AB Gabis, S Mirjalili, A Ramdane-Cherif… - SN computer …, 2022 - Springer
The year 2020 experienced an unprecedented pandemic called COVID-19, which impacted
the whole world. The absence of treatment has motivated research in all fields to deal with it …

An analysis review of detection coronavirus disease 2019 (COVID-19) based on biosensor application

BA Taha, Y Al Mashhadany, MH Hafiz Mokhtar… - Sensors, 2020 - mdpi.com
Timely detection and diagnosis are essentially needed to guide outbreak measures and
infection control. It is vital to improve healthcare quality in public places, markets, schools …

Prediction of COVID-19 from chest CT images using an ensemble of deep learning models

S Biswas, S Chatterjee, A Majee, S Sen, F Schwenker… - Applied Sciences, 2021 - mdpi.com
The novel SARS-CoV-2 virus, responsible for the dangerous pneumonia-type disease,
COVID-19, has undoubtedly changed the world by killing at least 3,900,000 people as of …