Artificial intelligence in healthcare: combining deep learning and Bayesian optimization to forecast COVID-19 confirmed cases

A Alhhazmi, A Alferidi, YA Almutawif… - Frontiers in Artificial …, 2024 - frontiersin.org
Healthcare is a topic of significant concern within the academic and business sectors. The
COVID-19 pandemic has had a considerable effect on the health of people worldwide. The …

Deep learning in public health: Comparative predictive models for COVID-19 case forecasting

MU Tariq, SB Ismail - Plos one, 2024 - journals.plos.org
The COVID-19 pandemic has had a significant impact on both the United Arab Emirates
(UAE) and Malaysia, emphasizing the importance of developing accurate and reliable …

[HTML][HTML] AI-powered COVID-19 forecasting: a comprehensive comparison of advanced deep learning methods

MU Tariq, SB Ismail - Osong Public Health and Research …, 2024 - ncbi.nlm.nih.gov
Objectives The coronavirus disease 2019 (COVID-19) pandemic continues to pose
significant challenges to the public health sector, including that of the United Arab Emirates …

Predicting COVID19 spread in Saudi Arabia using artificial intelligence techniques—Proposing a shift towards a sustainable healthcare approach

A Muniasamy, R Bhatnagar, G Karunakaran - Artificial Intelligence for …, 2021 - Springer
Medical data can be mined for effective decision making in spread of disease analysis.
Globally, Coronavirus (COVID-19) has recently caused highly rated cause of mortality which …

Artificial Intelligence Tools and Models Used by the Scientific Community to Address the COVID-19 Pandemic

H Nath, T Gary, A Shepard-Smith - Available at SSRN 3657855, 2020 - papers.ssrn.com
Artificial Intelligence (AI) tools are assisting scientists throughout the world in addressing the
COVID-19 pandemic. This article examines the significant contribution of AI in the fight …

A deep learning-based approach for predicting COVID-19 diagnosis

RM Munshi, MM Khayyat, SB Slama, MM Khayyat - Heliyon, 2024 - cell.com
This paper focuses on forecasting the total count of confirmed COVID-19 cases in Saudi
Arabia through a range of methodologies, including ARIMA, mathematical modeling, and …

Artificial intelligence for forecasting the prevalence of COVID-19 pandemic: An overview

AH Elsheikh, AI Saba, H Panchal, S Shanmugan… - Healthcare, 2021 - mdpi.com
Since the discovery of COVID-19 at the end of 2019, a significant surge in forecasting
publications has been recorded. Both statistical and artificial intelligence (AI) approaches …

[PDF][PDF] Forecasting Models for COVID-19 Pandemic: A Scoping Review

RR Maaliw III - Artificial Intelligence In Medicine, 2022 - researchgate.net
ABSTRACT The World Health Organization (WHO) has classified the outbreak of new
corona virus 2019 (COVID-19) as a global public health emergency. The widespread impact …

Machine Learning Algorithms and COVID-19: A Step for Predicting Future Pandemics with a Systematic Overview

M Pal, R Tiwari, K Dhama, S Parija… - … Learning and Deep …, 2022 - taylorfrancis.com
The novel COVID-19 disease is now an emerging global health threat as a result of the rapid
transmission. There have been 101,053,721 confirmed cases and 2,182,867 deaths …

Performance evaluation of machine learning approaches for covid-19 forecasting by infectious disease modeling

H Khaloofi, J Hussain, Z Azhar… - … Conference of Women …, 2021 - ieeexplore.ieee.org
The use of data analytics in virology is a rapidly growing means to provide accurate and
reliable information to healthcare providers. Its mechanisms allow for deeper …