Recommending Suitable Smart Technology Applications to Support Mobile Healthcare after the COVID-19 Pandemic Using a Fuzzy Approach

The COVID-19 pandemic seems to be entering its final stage. However, to restore normal life, the applications of smart technologies are still necessary. Therefore, this research is dedicated to exploring the applications of smart technologies that can support mobile healthcare after the COVID-19 pan...

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Autores principales:	Toly Chen, Yu-Cheng Wang
Formato:	article
Lenguaje:	EN
Publicado:	MDPI AG 2021
Materias:	smart technology mobile healthcare COVID-19 pandemic calibrated fuzzy geometric mean FTOPSIS Medicine R
Acceso en línea:	https://doaj.org/article/25db3432804b403290909fb7cf92aa56
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spelling	oai:doaj.org-article:25db3432804b403290909fb7cf92aa562021-11-25T17:44:13ZRecommending Suitable Smart Technology Applications to Support Mobile Healthcare after the COVID-19 Pandemic Using a Fuzzy Approach10.3390/healthcare91114612227-9032https://doaj.org/article/25db3432804b403290909fb7cf92aa562021-10-01T00:00:00Zhttps://www.mdpi.com/2227-9032/9/11/1461https://doaj.org/toc/2227-9032The COVID-19 pandemic seems to be entering its final stage. However, to restore normal life, the applications of smart technologies are still necessary. Therefore, this research is dedicated to exploring the applications of smart technologies that can support mobile healthcare after the COVID-19 pandemic. To this end, this study compares smart technology applications to support mobile healthcare within the COVID-19 pandemic with those before the pandemic, so as to estimate possible developments in this field. In addition, to quantitatively assess and compare smart technology applications that may support mobile healthcare after the COVID-19 pandemic, the calibrated fuzzy geometric mean (CFGM)-fuzzy technique for order preference by similarity to ideal solution (FTOPSIS) approach is applied. The proposed methodology has been applied to evaluate and compare nine potential smart technology applications for supporting mobile healthcare after the COVID-19 pandemic. According to the experimental results, “vaccine passport and related applications” and “smart watches” were the most suitable smart technology applications for supporting mobile healthcare after the COVID-19 pandemic.Toly ChenYu-Cheng WangMDPI AGarticlesmart technologymobile healthcareCOVID-19 pandemiccalibrated fuzzy geometric meanFTOPSISMedicineRENHealthcare, Vol 9, Iss 1461, p 1461 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	smart technology mobile healthcare COVID-19 pandemic calibrated fuzzy geometric mean FTOPSIS Medicine R
spellingShingle	smart technology mobile healthcare COVID-19 pandemic calibrated fuzzy geometric mean FTOPSIS Medicine R Toly Chen Yu-Cheng Wang Recommending Suitable Smart Technology Applications to Support Mobile Healthcare after the COVID-19 Pandemic Using a Fuzzy Approach
description	The COVID-19 pandemic seems to be entering its final stage. However, to restore normal life, the applications of smart technologies are still necessary. Therefore, this research is dedicated to exploring the applications of smart technologies that can support mobile healthcare after the COVID-19 pandemic. To this end, this study compares smart technology applications to support mobile healthcare within the COVID-19 pandemic with those before the pandemic, so as to estimate possible developments in this field. In addition, to quantitatively assess and compare smart technology applications that may support mobile healthcare after the COVID-19 pandemic, the calibrated fuzzy geometric mean (CFGM)-fuzzy technique for order preference by similarity to ideal solution (FTOPSIS) approach is applied. The proposed methodology has been applied to evaluate and compare nine potential smart technology applications for supporting mobile healthcare after the COVID-19 pandemic. According to the experimental results, “vaccine passport and related applications” and “smart watches” were the most suitable smart technology applications for supporting mobile healthcare after the COVID-19 pandemic.
format	article
author	Toly Chen Yu-Cheng Wang
author_facet	Toly Chen Yu-Cheng Wang
author_sort	Toly Chen
title	Recommending Suitable Smart Technology Applications to Support Mobile Healthcare after the COVID-19 Pandemic Using a Fuzzy Approach
title_short	Recommending Suitable Smart Technology Applications to Support Mobile Healthcare after the COVID-19 Pandemic Using a Fuzzy Approach
title_full	Recommending Suitable Smart Technology Applications to Support Mobile Healthcare after the COVID-19 Pandemic Using a Fuzzy Approach
title_fullStr	Recommending Suitable Smart Technology Applications to Support Mobile Healthcare after the COVID-19 Pandemic Using a Fuzzy Approach
title_full_unstemmed	Recommending Suitable Smart Technology Applications to Support Mobile Healthcare after the COVID-19 Pandemic Using a Fuzzy Approach
title_sort	recommending suitable smart technology applications to support mobile healthcare after the covid-19 pandemic using a fuzzy approach
publisher	MDPI AG
publishDate	2021
url	https://doaj.org/article/25db3432804b403290909fb7cf92aa56
work_keys_str_mv	AT tolychen recommendingsuitablesmarttechnologyapplicationstosupportmobilehealthcareafterthecovid19pandemicusingafuzzyapproach AT yuchengwang recommendingsuitablesmarttechnologyapplicationstosupportmobilehealthcareafterthecovid19pandemicusingafuzzyapproach
_version_	1718412032579993600

Recommending Suitable Smart Technology Applications to Support Mobile Healthcare after the COVID-19 Pandemic Using a Fuzzy Approach

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