Comprehensive survey of iot, machine learning, and blockchain for health care applications: A topical assessment for pandemic preparedness, challenges, and …

M Imran, U Zaman, Imran, J Imtiaz, M Fayaz, J Gwak - Electronics, 2021 - mdpi.com
Internet of Things (IoT) communication technologies have brought immense revolutions in
various domains, especially in health monitoring systems. Machine learning techniques …

A taxonomic review of the use of IoT and blockchain in healthcare applications

K Azbeg, O Ouchetto, SJ Andaloussi, L Fetjah - Irbm, 2022 - Elsevier
Objectives With the rapid evolution and technology advancement, the healthcare sector is
evolving day by day. It is taking advantage of different technologies such as Internet of things …

[HTML][HTML] Machine learning empowered COVID-19 patient monitoring using non-contact sensing: An extensive review

U Saeed, SY Shah, J Ahmad, MA Imran… - Journal of …, 2022 - Elsevier
The severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), which caused the
coronavirus disease 2019 (COVID-19) pandemic, has affected more than 400 million people …

Permissioned blockchain and deep reinforcement learning enabled security and energy efficient healthcare internet of things

L Liu, Z Li - Ieee Access, 2022 - ieeexplore.ieee.org
Recently, the Healthcare Internet of Things (H-IoT) has been widely applied to alleviate the
global challenge of the coronavirus disease 2019 (COVID-19) pandemic. However, security …

Current state of diagnostic, screening and surveillance testing methods for COVID-19 from an analytical chemistry point of view

J Martin, N Tena, AG Asuero - Microchemical Journal, 2021 - Elsevier
Since December 2019, we have been in the battlefield with a new threat to the humanity
known as severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). In this review …

[HTML][HTML] Mobile apps for COVID-19 detection and diagnosis for future pandemic control: Multidimensional systematic review

M Gheisari, M Ghaderzadeh, H Li, T Taami… - JMIR mHealth and …, 2024 - mhealth.jmir.org
Background In the modern world, mobile apps are essential for human advancement, and
pandemic control is no exception. The use of mobile apps and technology for the detection …

[HTML][HTML] The application of industry 4.0 technologies in pandemic management: Literature review and case study

J Moosavi, J Bakhshi, I Martek - Healthcare Analytics, 2021 - Elsevier
The Covid-19 pandemic impact on people's lives has been devastating. Around the world,
people have been forced to stay home, resorting to the use of digital technologies in an effort …

A systematic review and IoMT based big data framework for COVID-19 prevention and detection

S Hamid, NZ Bawany, AH Sodhro, A Lakhan, S Ahmed - Electronics, 2022 - mdpi.com
The Internet of Medical Things (IoMT) is transforming modern healthcare systems by
merging technological, economical, and social opportunities and has recently gained …

Factors impacting Saudi students' intention to adopt learning management systems using the TPB and UTAUT integrated model

YHS Al-Mamary, MA Siddiqui… - Journal of Science and …, 2023 - emerald.com
Purpose The purpose of this study is to identify the factors that influence the willingness of
Saudi Arabian students from four universities in Saudi Arabia, to adopt learning …

Integration of cloud computing with the Internet of things for the treatment and management of the COVID-19 pandemic

M Darbandi, AF Alrasheedi, KA Alnowibet… - Information Systems and …, 2022 - Springer
The globe is now fighting the COVID-19 epidemic, and a cost-effective method to battle the
outbreak is urgently required. In this era, the Internet of Things (IoT) offers healthcare …