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 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 cases prediction by using hybrid machine learning and beetle antennae search approach

M Zivkovic, N Bacanin, K Venkatachalam… - Sustainable cities and …, 2021 - Elsevier
The main objective of this paper is to further improve the current time-series prediction
(forecasting) algorithms based on hybrids between machine learning and nature-inspired …

Deep learning via LSTM models for COVID-19 infection forecasting in India

R Chandra, A Jain, D Singh Chauhan - PloS one, 2022 - journals.plos.org
The COVID-19 pandemic continues to have major impact to health and medical
infrastructure, economy, and agriculture. Prominent computational and mathematical models …

[HTML][HTML] Time series forecasting of new cases and new deaths rate for COVID-19 using deep learning methods

N Ayoobi, D Sharifrazi, R Alizadehsani, A Shoeibi… - Results in physics, 2021 - Elsevier
The first known case of Coronavirus disease 2019 (COVID-19) was identified in December
2019. It has spread worldwide, leading to an ongoing pandemic, imposed restrictions and …

Data science in economics: comprehensive review of advanced machine learning and deep learning methods

S Nosratabadi, A Mosavi, P Duan, P Ghamisi, F Filip… - Mathematics, 2020 - mdpi.com
This paper provides a comprehensive state-of-the-art investigation of the recent advances in
data science in emerging economic applications. The analysis is performed on the novel …

Machine learning (ML) in medicine: Review, applications, and challenges

AM Rahmani, E Yousefpoor, MS Yousefpoor… - Mathematics, 2021 - mdpi.com
Today, artificial intelligence (AI) and machine learning (ML) have dramatically advanced in
various industries, especially medicine. AI describes computational programs that mimic and …

Hybrid genetic algorithm and machine learning method for covid-19 cases prediction

M Zivkovic, VK, N Bacanin, A Djordjevic… - … on sustainable expert …, 2021 - Springer
A novel type of coronavirus, now known under the acronym COVID-19, was initially
discovered in the city of Wuhan, China. Since then, it has spread across the globe and now it …

Modelling and forecasting of COVID-19 spread using wavelet-coupled random vector functional link networks

BB Hazarika, D Gupta - Applied Soft Computing, 2020 - Elsevier
Researchers around the world are applying various prediction models for COVID-19 to
make informed decisions and impose appropriate control measures. Because of a high …

Winter is coming: a southern hemisphere perspective of the environmental drivers of SARS-CoV-2 and the potential seasonality of COVID-19

AJ Smit, JM Fitchett, FA Engelbrecht… - International journal of …, 2020 - mdpi.com
SARS-CoV-2 virus infections in humans were first reported in December 2019, the boreal
winter. The resulting COVID-19 pandemic was declared by the WHO in March 2020. By July …