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

Year 2022, , 533 - 543, 01.06.2022

Ayşegül Deringöz , Tuğba Danışan , Tamer Eren

https://doi.org/10.2339/politeknik.768219

Cited By: 15

Abstract

Humans 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.

Keywords

Covid-19, wearable health technology, AHP, PROMETHEE, TOPSIS, MCDM

Covid-19 Takibinde Giyilebilir Sağlık Teknolojilerinin ÇKKV Yöntemleri ile Değerlendirilmesi

Abstract

İnsanlar tarih boyunca birçok bulaşıcı hastalıklarla mücadele etmiştir. Günümüzde ise Covid-19 adı verilen hastalığa neden olan korona virüs salgını ile mücadele edilmektedir. Covid-19 hastalığına yakalanmış veya yakalanma riski bulunan kişiler için en önemli faktörlerden biri sosyal izolasyondur. Sosyal izolasyonun sağlanması için birçok ülke farklı çözümler geliştirmiştir. Bu çözümlerden biri de çeşitli Giyilebilir Sağlık Teknolojileridir (GST). Yapılan bu çalışmada Covid-19 uzaktan hasta takibinin yapılması için GST seçimi problemi ele alınmıştır. Covid-19 hastalarının takibinde kullanılan önemli semptomların da yer aldığı toplamda 6 kriter ile 6 GST ürünü değerlendirilmiştir. Analitik Hiyerarşi Prosesi (AHP) ile belirlenen 6 kriterin ağırlığı hesaplanmış ve bu ağırlıklar The Preference Ranking Organization METhod for Enrichment Evaluation (PROMETHEE) ve Technique for Order Preference by Similarity to Ideal Solutions (TOPSIS) yöntemlerinin çözümünde kullanılarak GST ürünleri kıyaslanmıştır. Yapılan çözüm sonucunda Covid-19 takibi için GST seçiminde birinci öncelikli ürün her iki yöntemde de BioButton ürünü olmuştur.

Keywords

covid-19, giyilebilir sağlık teknolojileri, AHP, PROMETHEE, TOPSIS, ÇKKV

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