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 …

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 …

COVID-19 detection using federated machine learning

M Abdul Salam, S Taha, M Ramadan - Plos one, 2021 - journals.plos.org
The current COVID-19 pandemic threatens human life, health, and productivity. AI plays an
essential role in COVID-19 case classification as we can apply machine learning models on …

Analysis of covid-19 infections on a ct image using deepsense model

A Khadidos, AO Khadidos, S Kannan… - Frontiers in public …, 2020 - frontiersin.org
In this paper, a data mining model on a hybrid deep learning framework is designed to
diagnose the medical conditions of patients infected with the coronavirus disease 2019 …

Analyzing the research trends of COVID-19 using topic modeling approach

SK Trivedi, P Patra, A Singh, P Deka… - Journal of Modelling in …, 2023 - emerald.com
Purpose The COVID-19 pandemic has impacted 222 countries across the globe, with
millions of people losing their lives. The threat from the virus may be assessed from the fact …

Racial impact on infections and deaths due to COVID-19 in New York City

Y Choi, J Unwin - arXiv preprint arXiv:2007.04743, 2020 - arxiv.org
Redlining is the discriminatory practice whereby institutions avoided investment in certain
neighborhoods due to their demographics. Here we explore the lasting impacts of redlining …

Managing SARS-CoV-2 Testing in schools with an artificial intelligence model and application developed by simulation data

SZ Valtchev, A Asgary, M Chen, FA Cronemberger… - Electronics, 2021 - mdpi.com
Research on SARS-CoV-2 and its social implications have become a major focus to
interdisciplinary teams worldwide. As interest in more direct solutions, such as mass testing …

A study of learning models for COVID-19 disease prediction

S Jain, PK Roy - Journal of Ambient Intelligence and Humanized …, 2024 - Springer
Coronavirus belongs to the family of Coronaviridae. It is responsible for COVID-19
communicable disease, which has affected 213 countries and territories worldwide …

[PDF][PDF] Detection COVID-19 of CT-Scan Image for Hospitalized Iraqi Patients based on Deep Learning

DS Ahmed, H Allah, SAK Hussain, IK Abbas - Webology, 2022 - webology.org
Due to the conditions in which countries experienced the outbreak of the Coronavirus and
our problem in diagnosing the disease, some of them relied on swabs to know if a person …

Análise não supervisionada das séries temporais de COVID-19 nos municípios brasileiros e seu envolvimento com fatores socioeconômicos e políticos

JL Simon - 2024 - lume.ufrgs.br
O avanço humano tem sido marcado por impactos ambientais negativos, contribuindo para
o surgimento de doenças emergentes e reemergentes, como a COVID-19. Este estudo …