Review on COVID‐19 diagnosis models based on machine learning and deep learning approaches

ZAA Alyasseri, MA Al‐Betar, IA Doush… - Expert …, 2022 - Wiley Online Library
COVID‐19 is the disease evoked by a new breed of coronavirus called the severe acute
respiratory syndrome coronavirus 2 (SARS‐CoV‐2). Recently, COVID‐19 has become a …

Artificial intelligence and machine learning in precision and genomic medicine

S Quazi - Medical Oncology, 2022 - Springer
The advancement of precision medicine in medical care has led behind the conventional
symptom-driven treatment process by allowing early risk prediction of disease through …

A performance comparison of supervised machine learning models for Covid-19 tweets sentiment analysis

F Rustam, M Khalid, W Aslam, V Rupapara… - Plos one, 2021 - journals.plos.org
The spread of Covid-19 has resulted in worldwide health concerns. Social media is
increasingly used to share news and opinions about it. A realistic assessment of the …

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 …

[HTML][HTML] Supervised machine learning models for prediction of COVID-19 infection using epidemiology dataset

LJ Muhammad, EA Algehyne, SS Usman, A Ahmad… - SN computer …, 2021 - Springer
Abstract COVID-19 or 2019-nCoV is no longer pandemic but rather endemic, with more than
651,247 people around world having lost their lives after contracting the disease. Currently …

COVID-19 open source data sets: a comprehensive survey

J Shuja, E Alanazi, W Alasmary, A Alashaikh - Applied Intelligence, 2021 - Springer
In December 2019, a novel virus named COVID-19 emerged in the city of Wuhan, China. In
early 2020, the COVID-19 virus spread in all continents of the world except Antarctica …

[HTML][HTML] Supervised machine learning in drug discovery and development: Algorithms, applications, challenges, and prospects

G Obaido, ID Mienye, OF Egbelowo… - Machine Learning with …, 2024 - Elsevier
Drug discovery and development is a time-consuming process that involves identifying,
designing, and testing new drugs to address critical medical needs. In recent years, machine …

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 …

An efficient CNN model for COVID‐19 disease detection based on x‐ray image classification

AA Reshi, F Rustam, A Mehmood, A Alhossan… - …, 2021 - Wiley Online Library
Artificial intelligence (AI) techniques in general and convolutional neural networks (CNNs) in
particular have attained successful results in medical image analysis and classification. A …

Artificial intelligence for forecasting and diagnosing COVID-19 pandemic: A focused review

C Comito, C Pizzuti - Artificial intelligence in medicine, 2022 - Elsevier
The outbreak of novel corona virus 2019 (COVID-19) has been treated as a public health
crisis of global concern by the World Health Organization (WHO). COVID-19 pandemic …