[HTML][HTML] A COVID-19 pandemic artificial intelligence–based system with deep learning forecasting and automatic statistical data acquisition: development and …

CS Yu, SS Chang, TH Chang, JL Wu, YJ Lin… - Journal of medical …, 2021 - jmir.org
Background More than 79.2 million confirmed COVID-19 cases and 1.7 million deaths were
caused by SARS-CoV-2; the disease was named COVID-19 by the World Health …

Deepcovid: An operational deep learning-driven framework for explainable real-time covid-19 forecasting

A Rodríguez, A Tabassum, J Cui, J Xie, J Ho… - Proceedings of the …, 2021 - ojs.aaai.org
How do we forecast an emerging pandemic in real time in a purely data-driven manner?
How to leverage rich heterogeneous data based on various signals such as mobility, testing …

The COVID-19 Data Portal: accelerating SARS-CoV-2 and COVID-19 research through rapid open access data sharing

PW Harrison, R Lopez, N Rahman… - Nucleic acids …, 2021 - academic.oup.com
The severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) pandemic will be
remembered as one of the defining events of the 21st century. The rapid global outbreak has …

Applications of artificial intelligence, machine learning, big data and the internet of things to the COVID-19 pandemic: A scientometric review using text mining

I Rodriguez-Rodriguez, JV Rodriguez… - International Journal of …, 2021 - mdpi.com
The COVID-19 pandemic has wreaked havoc in every country in the world, with serious
health-related, economic, and social consequences. Since its outbreak in March 2020, many …

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 …

Impacts of COVID-19: A research agenda to support people in their fight

V Venkatesh - International journal of information management, 2020 - Elsevier
Grounded in the vast changes to work life (jobs) and home life that people are facing due to
the COVID-19 pandemic (hereinafter COVID), this article presents five research directions …

Harnessing the power of smart and connected health to tackle COVID-19: IoT, AI, robotics, and blockchain for a better world

F Firouzi, B Farahani, M Daneshmand… - IEEE Internet of …, 2021 - ieeexplore.ieee.org
As COVID-19 hounds the world, the common cause of finding a swift solution to manage the
pandemic has brought together researchers, institutions, governments, and society at large …

Machine learning in fighting pandemics: a COVID-19 case study

M Mahmud, MS Kaiser - COVID-19: prediction, decision-making, and its …, 2021 - Springer
In today's digitised world, machine learning (ML) has been playing a very important role in
identifying patterns from the ever-growing amount of data made available by the devices …

Data-driven decision-making in COVID-19 response: A survey

S Yu, Q Qing, C Zhang, A Shehzad… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
COVID-19 has spread all over the world, having an enormous effect on our daily life and
work. In response to the epidemic, a lot of important decisions need to be taken to save …

Explore big data analytics applications and opportunities: A review

ZA Al-Sai, MH Husin, SM Syed-Mohamad… - Big Data and Cognitive …, 2022 - mdpi.com
Big data applications and analytics are vital in proposing ultimate strategic decisions. The
existing literature emphasizes that big data applications and analytics can empower those …