Telehealth utilization during the Covid-19 pandemic: A systematic review
During the coronavirus disease (COVID-19) pandemic, different technologies, including
telehealth, are maximised to mitigate the risks and consequences of the disease. Telehealth …
telehealth, are maximised to mitigate the risks and consequences of the disease. Telehealth …
[HTML][HTML] Telemedicine for healthcare: Capabilities, features, barriers, and applications
Regular hospital visits can be expensive, particularly in rural areas, due to travel costs. In the
era of the Covid-19 Pandemic, where physical interaction becomes risky, people prefer …
era of the Covid-19 Pandemic, where physical interaction becomes risky, people prefer …
Integrating digital technologies and public health to fight Covid-19 pandemic: key technologies, applications, challenges and outlook of digital healthcare
Integration of digital technologies and public health (or digital healthcare) helps us to fight
the Coronavirus Disease 2019 (COVID-19) pandemic, which is the biggest public health …
the Coronavirus Disease 2019 (COVID-19) pandemic, which is the biggest public health …
How smart is e-tourism? A systematic review of smart tourism recommendation system applying data management
Extensive research has been conducted on e-tourism spanning a wide range of concepts,
challenges and concerns discussed in tourism recommender systems (TRS). Smart tourism …
challenges and concerns discussed in tourism recommender systems (TRS). Smart tourism …
Integration of fuzzy-weighted zero-inconsistency and fuzzy decision by opinion score methods under a q-rung orthopair environment: a distribution case study of …
Owing to the limitations of Pythagorean fuzzy and intuitionistic fuzzy sets, scientists have
developed a distinct and successive fuzzy set called the q-rung orthopair fuzzy set (q …
developed a distinct and successive fuzzy set called the q-rung orthopair fuzzy set (q …
[HTML][HTML] Novel dynamic fuzzy decision-making framework for COVID-19 vaccine dose recipients
Introduction The vaccine distribution for the COVID-19 is a multicriteria decision-making
(MCDM) problem based on three issues, namely, identification of different distribution …
(MCDM) problem based on three issues, namely, identification of different distribution …
[HTML][HTML] IoT-based smart health monitoring system for COVID-19
With the commencement of the COVID-19 pandemic, social distancing and quarantine are
becoming essential practices in the world. IoT health monitoring systems prevent frequent …
becoming essential practices in the world. IoT health monitoring systems prevent frequent …
[HTML][HTML] Based on T-spherical fuzzy environment: a combination of FWZIC and FDOSM for prioritising COVID-19 vaccine dose recipients
MA Alsalem, HA Alsattar, AS Albahri… - Journal of infection and …, 2021 - Elsevier
The problem complexity of multi-criteria decision-making (MCDM) has been raised in the
distribution of coronavirus disease 2019 (COVID-19) vaccines, which required solid and …
distribution of coronavirus disease 2019 (COVID-19) vaccines, which required solid and …
A systematic review of trustworthy and explainable artificial intelligence in healthcare: Assessment of quality, bias risk, and data fusion
In the last few years, the trend in health care of embracing artificial intelligence (AI) has
dramatically changed the medical landscape. Medical centres have adopted AI applications …
dramatically changed the medical landscape. Medical centres have adopted AI applications …
Incentive techniques for the internet of things: a survey
Abstract The Internet of Things (IoT) has remarkably evolved over the last few years to
realize a wide range of newly emerging services and applications empowered by the …
realize a wide range of newly emerging services and applications empowered by the …