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 …
The applications of MCDM methods in COVID-19 pandemic: A state of the art review
A Sotoudeh-Anvari - Applied Soft Computing, 2022 - Elsevier
Likened to the economic calamity of World War Two, the COVID-19 pandemic has sparked
fears of a deep economic crisis, killed more than six million people worldwide and had a …
fears of a deep economic crisis, killed more than six million people worldwide and had a …
Machine learning for detecting COVID-19 from cough sounds: An ensemble-based MCDM method
This research aims to analyze the performance of state-of-the-art machine learning
techniques for classifying COVID-19 from cough sounds and to identify the model (s) that …
techniques for classifying COVID-19 from cough sounds and to identify the model (s) that …
Novel multi security and privacy benchmarking framework for blockchain-based IoT healthcare industry 4.0 systems
The evaluation, importance and variation nature of multiple security and privacy properties
are the main issues that make the benchmarking of blockchain-based IoT healthcare …
are the main issues that make the benchmarking of blockchain-based IoT healthcare …
Multi-criteria decision-making for coronavirus disease 2019 applications: a theoretical analysis review
The influence of the ongoing COVID-19 pandemic that is being felt in all spheres of our lives
and has a remarkable effect on global health care delivery occurs amongst the ongoing …
and has a remarkable effect on global health care delivery occurs amongst the ongoing …
Rise of multiattribute decision‐making in combating COVID‐19: A systematic review of the state‐of‐the‐art literature
Considering the coronavirus disease 2019 (COVID‐19) pandemic, the government and
health sectors are incapable of making fast and reliable decisions, particularly given the …
health sectors are incapable of making fast and reliable decisions, particularly given the …
Review of healthcare industry 4.0 application-based blockchain in terms of security and privacy development attributes: Comprehensive taxonomy, open issues and …
This paper has been contributed on the basis of three main goals, namely, to identify the
research gaps, challenges and open issues in the academic literature related to the …
research gaps, challenges and open issues in the academic literature related to the …
[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 …
A PROMETHEE based outranking approach for the construction of Fangcang shelter hospital using spherical fuzzy sets
This study mainly aims to develop two effective and practical multi-criteria group decision-
making approaches by taking advantage of the ground-breaking theory of PROMETHEE …
making approaches by taking advantage of the ground-breaking theory of PROMETHEE …
Based on the multi-assessment model: towards a new context of combining the artificial neural network and structural equation modelling: a review
Theoretical models have become increasingly complex, but the dual-phase structural
equation modelling (SEM) and artificial neural network analysis can be used by scholars to …
equation modelling (SEM) and artificial neural network analysis can be used by scholars to …