Evaluation of Wearable Health Technologies with MCDM Methods in Covid-19 Monitoring

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dc.contributor.authorDeringöz, Ayşegül
dc.contributor.authorDanışan, Tuğba
dc.contributor.authorEren, Tamer
dc.date.accessioned2025-01-21T16:33:49Z
dc.date.available2025-01-21T16:33:49Z
dc.date.issued2022
dc.departmentKırıkkale Üniversitesi
dc.description.abstractHumans have struggled with many infectious diseases throughout history. Today, the coronavirus epidemic that causes the disease called Covid-19 is being fought. One of the most important factors for people with or at risk of contracting Covid-19 disease is social isolation. Many countries have developed different solutions to ensure social isolation. One of these solutions is various Wearable Health Technologies (WHT). In this study, the problem of GST selection for remote patient monitoring of Covid-19 was discussed. Six WHT products were evaluated with a total of 6 criteria, including important symptoms used in the follow-up of Covid-19 patients. Weights of 6 criteria determined by Analytical Hierarchy Process (AHP) were calculated and these weights were used in the solution of The Preference Ranking Organization METhod for Enrichment Evaluation (PROMETHEE) and Technique for Order Preference by Similarity to Ideal Solutions (TOPSIS) methods and GST products were compared. As a result of the solution, the first priority product in choosing GST for Covid-19 monitoring has been the BioButton product in both methods.
dc.identifier.doi10.2339/politeknik.768219
dc.identifier.endpage542
dc.identifier.issn1302-0900
dc.identifier.issn2147-9429
dc.identifier.issue2
dc.identifier.startpage533
dc.identifier.trdizinid1235261
dc.identifier.urihttps://doi.org/10.2339/politeknik.768219
dc.identifier.urihttps://search.trdizin.gov.tr/tr/yayin/detay1235261
dc.identifier.urihttps://hdl.handle.net/20.500.12587/23863
dc.identifier.volume25
dc.identifier.wosWOS:001001848800007
dc.identifier.wosqualityN/A
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakTR-Dizin
dc.language.isotr
dc.publisherGazi Univ
dc.relation.ispartofJournal of Polytechnic-Politeknik Dergisi
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/openAccess
dc.snmzKA_20241229
dc.subjectCovid-19; wearable health technology; AHP; PROMETHEE; TOPSIS; MCDM
dc.titleEvaluation of Wearable Health Technologies with MCDM Methods in Covid-19 Monitoring
dc.typeArticle

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