Data-driven analytics leveraging artificial intelligence in the era of COVID-19: an insightful review of recent developments
A Majeed, SO Hwang - Symmetry, 2021 - mdpi.com
This paper presents the role of artificial intelligence (AI) and other latest technologies that
were employed to fight the recent pandemic (ie, novel coronavirus disease-2019 (COVID …
were employed to fight the recent pandemic (ie, novel coronavirus disease-2019 (COVID …
Automated detection of COVID-19 cases from chest X-ray images using deep neural network and XGBoost
Introduction In late 2019 and after the COVID-19 pandemic in the world, many researchers
and scholars tried to provide methods for detecting COVID-19 cases. Accordingly, this study …
and scholars tried to provide methods for detecting COVID-19 cases. Accordingly, this study …
Machine learning first response to COVID-19: A systematic literature review of clinical decision assistance approaches during pandemic years from 2020 to 2022
G Badiola-Zabala, JM Lopez-Guede, J Estevez… - Electronics, 2024 - mdpi.com
Background: The declaration of the COVID-19 pandemic triggered global efforts to control
and manage the virus impact. Scientists and researchers have been strongly involved in …
and manage the virus impact. Scientists and researchers have been strongly involved in …
[PDF][PDF] COVID-19 Pandemic Prediction and Forecasting Using Machine Learning Classifiers.
COVID-19 is a novel virus that spreads in multiple chains from one person to the next. When
a person is infected with this virus, they experience respiratory problems as well as rise in …
a person is infected with this virus, they experience respiratory problems as well as rise in …
Bio-activity prediction of drug candidate compounds targeting SARS-Cov-2 using machine learning approaches
The SARS-CoV-2 3CLpro protein is one of the key therapeutic targets of interest for COVID-
19 due to its critical role in viral replication, various high-quality protein crystal structures …
19 due to its critical role in viral replication, various high-quality protein crystal structures …
[PDF][PDF] Smart Quarantine Environment Privacy through IoT Gadgets Using Blockchain.
The coronavirus, formerly known as COVID-19, has caused massive global disasters. As a
precaution, most governments imposed quarantine periods ranging from months to years …
precaution, most governments imposed quarantine periods ranging from months to years …
[HTML][HTML] COV-ADSX: An automated detection system using X-ray images, deep learning, and XGBoost for COVID-19
Following the COVID-19 pandemic, scientists have been looking for different ways to
diagnose COVID-19, and these efforts have led to a variety of solutions. One of the common …
diagnose COVID-19, and these efforts have led to a variety of solutions. One of the common …
Hybrid approach to identifying druglikeness leading compounds against COVID-19 3CL protease
SARS-CoV-2 is a positive single-strand RNA-based macromolecule that has caused the
death of more than 6.3 million people since June 2022. Moreover, by disturbing global …
death of more than 6.3 million people since June 2022. Moreover, by disturbing global …
Deep Learning-Based Feature Fusion and Transfer Learning for approximating pIC value of COVID-19 Medicine using drug discovery data
The pandemic disease Coronavirus 2019 (COVID-19) caused thousands of infections and
deaths globally. It is important to introduce new medicines to address the critical situation in …
deaths globally. It is important to introduce new medicines to address the critical situation in …
IoT devices for detecting and machine learning for predicting COVID-19 outbreak
The novel virus, often called COVID-19, is an infection that spreads from one to another in
multiple chains. The novel virus has caused a universal pandemic, and some investigations …
multiple chains. The novel virus has caused a universal pandemic, and some investigations …