Machine learning applications for COVID-19 outbreak management
A Heidari, N Jafari Navimipour, M Unal… - Neural Computing and …, 2022 - Springer
Recently, the COVID-19 epidemic has resulted in millions of deaths and has impacted
practically every area of human life. Several machine learning (ML) approaches are …
practically every area of human life. Several machine learning (ML) approaches are …
Automated detection and forecasting of covid-19 using deep learning techniques: A review
Abstract In March 2020, the World Health Organization (WHO) declared COVID-19 a global
epidemic, caused by the SARS-CoV-2 virus. Initially, COVID-19 was diagnosed using real …
epidemic, caused by the SARS-CoV-2 virus. Initially, COVID-19 was diagnosed using real …
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 …
(SARS-CoV-2), that causes CoronaVirus Disease 2019 (COVID-19), has become a matter of …
Machine learning meets omics: applications and perspectives
The innovation of biotechnologies has allowed the accumulation of omics data at an
alarming rate, thus introducing the era of 'big data'. Extracting inherent valuable knowledge …
alarming rate, thus introducing the era of 'big data'. Extracting inherent valuable knowledge …
[HTML][HTML] Role of machine learning techniques to tackle the COVID-19 crisis: systematic review
Background: SARS-CoV-2, the novel coronavirus responsible for COVID-19, has caused
havoc worldwide, with patients presenting a spectrum of complications that have pushed …
havoc worldwide, with patients presenting a spectrum of complications that have pushed …
Machine learning and applications in microbiology
SJ Goodswen, JLN Barratt, PJ Kennedy… - FEMS microbiology …, 2021 - academic.oup.com
To understand the intricacies of microorganisms at the molecular level requires making
sense of copious volumes of data such that it may now be humanly impossible to detect …
sense of copious volumes of data such that it may now be humanly impossible to detect …
Prognostication of patients with COVID-19 using artificial intelligence based on chest x-rays and clinical data: a retrospective study
Background Chest x-ray is a relatively accessible, inexpensive, fast imaging modality that
might be valuable in the prognostication of patients with COVID-19. We aimed to develop …
might be valuable in the prognostication of patients with COVID-19. We aimed to develop …
Transfer learning to detect COVID‐19 automatically from X‐Ray images using convolutional neural networks
MM Taresh, N Zhu, TAA Ali… - … Journal of Biomedical …, 2021 - Wiley Online Library
The novel coronavirus disease 2019 (COVID‐19) is a contagious disease that has caused
thousands of deaths and infected millions worldwide. Thus, various technologies that allow …
thousands of deaths and infected millions worldwide. Thus, various technologies that allow …
Application of machine learning in diagnosis of COVID-19 through X-ray and CT images: a scoping review
H Mohammad-Rahimi, M Nadimi… - Frontiers in …, 2021 - frontiersin.org
Coronavirus disease, first detected in late 2019 (COVID-19), has spread fast throughout the
world, leading to high mortality. This condition can be diagnosed using RT-PCR technique …
world, leading to high mortality. This condition can be diagnosed using RT-PCR technique …
Using handpicked features in conjunction with ResNet-50 for improved detection of COVID-19 from chest X-ray images
S Rajpal, N Lakhyani, AK Singh, R Kohli… - Chaos, Solitons & …, 2021 - Elsevier
Coronaviruses are a family of viruses that majorly cause respiratory disorders in humans.
Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is a new strain of …
Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is a new strain of …