Artificial intelligence against COVID-19: A meta-analysis of current research

K Raza - Big data analytics and artificial intelligence against …, 2020 - Springer
The epidemic of coronavirus disease 2019 (COVID-19) has posed an unprecedented
challenge before humankind, with more than 3.2 million confirmed cases and death toll to …

Fusion of AI techniques to tackle COVID-19 pandemic: models, incidence rates, and future trends

H Shah, S Shah, S Tanwar, R Gupta, N Kumar - Multimedia Systems, 2022 - Springer
The COVID-19 pandemic is rapidly spreading across the globe and infected millions of
people that take hundreds of thousands of lives. Over the years, the role of Artificial …

Computational intelligence techniques for combating COVID-19: A survey

VS Tseng, JJC Ying, STC Wong… - IEEE Computational …, 2020 - ieeexplore.ieee.org
Computational intelligence has been used in many applications in the fields of health
sciences and epidemiology. In particular, owing to the sudden and massive spread of …

AI-driven tools for coronavirus outbreak: need of active learning and cross-population train/test models on multitudinal/multimodal data

KC Santosh - Journal of medical systems, 2020 - Springer
Abstract The novel coronavirus (COVID-19) outbreak, which was identified in late 2019,
requires special attention because of its future epidemics and possible global threats …

Cmbatting COVID-19: Artificial Intelligence Technologies & Challenges

N Patel, S Trivedi, JM Chatterjee - ScienceOpen Preprints, 2022 - scienceopen.com
AI works proficiently to emulate human intellect. It may also play an important role in
understanding and recommending the creation of a COVID-19 vaccine. This outcome-driven …

Applications of machine learning approaches to combat COVID-19: a survey

S Tiwari, O Dogan, MA Jabbar, SK Shandilya… - Lessons from COVID …, 2022 - Elsevier
Abstract Machine learning (ML) and artificial intelligence (AI) approaches are prominent and
well established in the field of health-care informatics. Because they have a more productive …

Potential of deep learning algorithms in mitigating the spread of COVID-19

OA Sarumi, O Aouedi, LJ Muhammad - Understanding COVID-19: The …, 2022 - Springer
COVID-19 pandemic has become endemic and has plunged the global community into a
perilous situation pervaded with an economic recession, loss of jobs, and the death of …

[Retracted] Gauging the Impact of Artificial Intelligence and Mathematical Modeling in Response to the COVID‐19 Pandemic: A Systematic Review

A Hassan, D Prasad, S Rani… - BioMed Research …, 2022 - Wiley Online Library
While the world continues to grapple with the devastating effects of the SARS‐nCoV‐2 virus,
different scientific groups, including researchers from different parts of the world, are trying to …

[HTML][HTML] Supervised machine learning models for prediction of COVID-19 infection using epidemiology dataset

LJ Muhammad, EA Algehyne, SS Usman, A Ahmad… - SN computer …, 2021 - Springer
Abstract COVID-19 or 2019-nCoV is no longer pandemic but rather endemic, with more than
651,247 people around world having lost their lives after contracting the disease. Currently …

[HTML][HTML] Role of machine learning techniques to tackle the COVID-19 crisis: systematic review

HB Syeda, M Syed, KW Sexton, S Syed… - JMIR medical …, 2021 - medinform.jmir.org
Background: SARS-CoV-2, the novel coronavirus responsible for COVID-19, has caused
havoc worldwide, with patients presenting a spectrum of complications that have pushed …