A comprehensive review of artificial intelligence in prevention and treatment of COVID-19 pandemic

H Wang, S Jia, Z Li, Y Duan, G Tao, Z Zhao - Frontiers in Genetics, 2022 - frontiersin.org
The unprecedented outbreak of the Corona Virus Disease 2019 (COVID-19) pandemic has
seriously affected numerous countries in the world from various aspects such as education …

Infectious Disease Modeling: From Traditional to Evolutionary Algorithms

I Malhotra, N Goel - Archives of Computational Methods in Engineering, 2024 - Springer
The recent worldwide catastrophe named COVID-19 has motivated experts from various
fields to contribute to tackling the situation, such as by forecasting the spread of infectious …

Forecasting COVID-19 recovered cases with Artificial Neural Networks to enable designing an effective blood supply chain

E Ayyildiz, M Erdogan, A Taskin - Computers in Biology and Medicine, 2021 - Elsevier
This study introduces a forecasting model to help design an effective blood supply chain
mechanism for tackling the COVID-19 pandemic. In doing so, first, the number of people …

Predicting the epidemics trend of COVID-19 using epidemiological-based generative adversarial networks

H Wang, G Tao, J Ma, S Jia, L Chi… - IEEE Journal of …, 2022 - ieeexplore.ieee.org
The Coronavirus disease 2019 (COVID-19) is a respiratory illness that can spread from
person to person. Since the COVID-19 pandemic is spreading rapidly over the world and its …

DeepCov: effective prediction model of COVID-19 using CNN algorithm

M Diqi, SH Mulyani, R Pradila - SN Computer Science, 2023 - Springer
COVID-19 outbreak prediction is a challenging and complicated problem in a vast dataset.
Several communities have proposed various methods to predict the COVID-19-positive …

A graph based recommender system for managing Covid-19 Crisis

Y Sayeb, M Jebri, HB Ghezala - Procedia computer science, 2022 - Elsevier
The paper aims to present a graph based recommender system for managing the Covid-19
crisis by considering patient and medical staff data. Working with limited number of medical …

HUBUNGAN ANTARA MARKER INFLAMASI DENGAN MORTALITAS PASIEN COVID-19 DI UNIT PERAWATAN INTENSIF RS UKRIDA PADA TAHUN 2020–2021

HT Ta, S Suparto… - Community …, 2023 - journal.universitaspahlawan.ac.id
Abstract Pandemi Coronavirus disease 2019 (COVID-19) merupakan suatu masalah
kesehatan yang tengah berlangsung di lebih dari 200 negara di dunia. Indonesia sendiri …

COVID-19 Time Series Forecasting–Twenty Days Ahead

KCM de Carvalho, JP Vicente, JP Teixeira - Procedia computer science, 2022 - Elsevier
The new Coronavirus, responsible for the COVID-19 disease, is the most discussed topic in
the current days, and the forecast numbers of new cases and deaths are the most important …

Analysis and forecasting incidence, intensive care unit admissions, and projected mortality attributable to COVID-19 in Portugal, the UK, Germany, Italy, and France …

K Carvalho, JP Vicente, M Jakovljevic, JPR Teixeira - Bioengineering, 2021 - mdpi.com
The use of artificial neural networks (ANNs) is a great contribution to medical studies since
the application of forecasting concepts allows for the analysis of future diseases …

A comparison of Covid-19 cases and deaths in Turkey and in other countries

O Çağlar, F Özen - Network Modeling Analysis in Health Informatics and …, 2022 - Springer
In this study, the characteristics of the Covid-19 pandemic in Turkey are examined in terms
of the number of cases and deaths, and a characteristic prediction is made with an approach …