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

Year 2022, Volume: 25 Issue: 2, 533 - 543, 01.06.2022
https://doi.org/10.2339/politeknik.768219

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.

References

  • [1] Aslan R., “Tarihten Günümüze Epidemiler, Pandemiler ve Covid-19”, Göller Bölgesi Aylık Ekonomi ve Kültür Dergisi, 85(8):35, (2020)
  • [2] Dikmen A., Kına H., Özkan S., İlhan M., “COVID-19 Epidemiyolojisi: Pandemiden Ne Öğrendik”, Journal of Biotechnology and Strategic Health Research, 4: 29-36, (2020)
  • [3] Ankaralı H., Ankaralı S., Eraslan N., “COVID-19, SARS-CoV2, Enfeksiyonu: Güncel Epidemiyolojik Analiz ve Hastalık Seyrinin Modellemesi”, Anadolu Kliniği Tıp Bilimleri Dergisi, 25(1): 1-22, (2020)
  • [4] Yılmaz A., Güven A., “Wireless Patient Monitoring System”, Electronic Letters on Science and Engineering, 13 (1): 16-30, (2017)
  • [5] Groff C.P., Mulvaney P.L., U.S. Patent No. 6,102,856. Washington, DC: U.S. Patent and Trademark Office, (2000)
  • [6] T.C. Sağlık Bakanlığı Halk Sağlığı Genel Müdürlüğü, Covid-19 Hasta Tedavisi Bilimsel Danışma Kurulu Çalışması, Türkiye, (2020)
  • [7] Lakkireddy D.R., Chung M.K., Gopinathannair R., Patton K.K., Gluckman T.J., Turagam M., Han J. K., Guidance for Cardiac Electrophysiology During the COVID-19 Pandemic from the Heart Rhythm Society COVID-19 Task Force; Electrophysiology Section of the American College of Cardiology; and the Electrocardiography and Arrhythmias Committee of the Council on Clinical Cardiology, American Heart Association. Circulation, 141(21): 823-831, (2020)
  • [8] Gorodeski E.Z., Goyal P., Cox Z.L., Thibodeau J.T., Reay R.E., Rasmusson K., Starling R.C., “Virtual visits for care of patients with heart failure in the era of COVID-19: a statement from the Heart Failure Society of America”, Journal of Cardiac Failure, 26(6): 428-456, (2020)
  • [9] Sun S., Folarin A., Ranjan Y., Rashid Z., Conde P., Cummins N., Buron M., et al., “Using smartphones and wearable devices to monitor behavioural changes during COVID-19”, arXiv preprint arXiv:2004.14331, (2020)
  • [10] Zhu G., Li J., Meng Z., Yu Y., Li Y., Tang X., Wang K., et al., “Learning from Large-Scale Wearable Device Data for Predicting Epidemics Trend of COVID-19”, Discrete Dynamics in Nature and Society, (2020)
  • [11] Wosik J., Fudim M., Cameron B., Gellad Z.F., Cho A., Phinney D., Katz J.N., et al. “Telehealth Transformation: COVID-19 and the rise of Virtual Care”, Journal of the American Medical Informatics Association, 27(6): 957-962, (2020)
  • [12] Singh V.K., Chandna H., Kumar A., Kumar S., Upadhyay N., Utkarsh K., “IoT-Q-Band: A low cost internet of things based wearable band to detect and track absconding COVID-19 quarantine subjects”, EAI Endorsed Transactions on Internet of Things, (2020)
  • [13] Tavakoli M., Carriere J., Torabi A., “Robotics, smart wearable technologies, and autonomous intelligent systems for healthcare during the COVID‐19 pandemic: An analysis of the state of the art and future vision”, Advanced Intelligent Systems, (2020)
  • [14] Zhang F., Wang H., Chen R., Hu W., Zhong Y., Wang X., “Remote monitoring contributes to preventing overwork-related events in health workers on the COVID-19 frontlines”, Precision Clinical Medicine, (2020)
  • [15] Alwashmi M.F., “The use of digital health in the detection and management of COVID-19”, International Journal of Environmental Research and Public Health, 17(8): 2906, (2020)
  • [16] Ktori S., “Wearable tech fuels ai research: sophia ktori discusses the convergence of clinical ai and wearable technology with physiq chairman and ceo gary conkright”. Scientific Computing World, 171:18-20, (2020)
  • [17] Öcal H., Doğru İ.A., Barışçı N., “Akıllı ve geleneksel giyilebilir sağlık cihazlarında nesnelerin interneti”, Politeknik Dergisi, 22(3): 695-714, (2019)
  • [18] Özcan E., Ökten S., Eren T., “Decision making for promising quinoline‐based anticancer agents through combined methodology”, Journal of Biochemical and Molecular Toxicology, (2020)
  • [19] Hamurcu M., Eren T., “Selection of Unmanned Aerial Vehicles by Using Multicriteria Decision-Making for Defence”, Journal of Mathematics, (2020)
  • [20] Eren T., Cihan Ş., Ayan E., Topal T., Yıldırım E. K., “Çok ölçütlü karar verme yöntemleri ile ekokardiyografi cihazı seçiminin yapılması” Sağlık Bilimleri ve Meslekleri Dergisi, 4(1): 41-49, (2017)
  • [21] Özcan E.C., Danışan T., Eren T., “A mathematical model proposal for maintenance strategies optimization of the most critical electrical equipment groups of hydroelectric power plants”, Pamukkale Univ. J. Eng. Sci, 25: 498-506, (2019)
  • [22] Özcan E.C., Danışan T., Yumuşak R., Eren T., “An artificial neural network model supported with multi criteria decision making approaches for maintenance planning in hydroelectric power plants”, Eksploatacja i Niezawodnosc – Maintenance and Reliability, 22 (3): 400–418, (2020)
  • [23] Uğur L.O., “Yapı Makinesi Satın Alımında VIKOR Çok Kriterli Karar Verme Yönteminin Uygulanması”, Politeknik Dergisi, 20(4): 879-885, (2017)
  • [24] Hamurcu M., Alağaş H.M., Eren T., “Selection of rail system projects with analytic hierarchy process and goal programming”, Sigma Journal of Engineering and Natural Sciences, 8(2): 291-302, (2017)
  • [25] World Health Organization. Coronavirus disease 2019 (COVID-19): situation report, 72, (2020)
  • [26] Advanced Remote Monitoring Partners with Wearable Maker KaHa for Continuous COVID-19 Monitoring https://www.wearable-technologies.com/2020/04/advanced-remote-monitoring-partners-with-wearable-maker-kaha-for-continuous-covid-19-monitoring/
  • [27] TempTraq Single-Use Disposable Patch Ideal for Remote Monitoring of Coronavirus Patient https://www.wearable-technologies.com/2020/03/temptraq-single-use-disposable-patch-ideal-for-remote-monitoring-of-coronavirus-patients/
  • [28] Cosinuss Proposes Remote Monitoring Solution for Covid-19 Patients in Home Isolation https://www.wearable-technologies.com/2020/04/cosinuss-proposes-remote-monitoring-solution-for-covid-19-patients-in-home-isolation/
  • [29] WHOOP Partners with CQUniversity and Cleveland Clinic to Study Whether its Wearable Could Identify Hidden COVID-19 Cases https://www.wearable-technologies.com/2020/04/whoop-partners-with-cquniversity-and-cleveland-clinic-to-study-whether-its-wearable-could-identify-hidden-covid-19-cases/
  • [30] VivaLNKproduct. https://www.vivalnk.com/covid-19
  • [31] LifeSignalproduct. https://lifesignals.com/covid19/
  • [32] LifeSignalh ttps://www.st.com/content/ccc/resource/sales_and_marketing/presentation/application_presentation/group0/57/9a/ce/4b/11/cc/4e/0c/Vital_sign_wireless_monitoring/files/Vital_sign_wireless_monitoring.pdf/jcr:content/translations/en.Vital_sign_wireless_monitoring.pdf
  • [33] Spryhealthproduct. https://spryhealth.com/the-loop-monitoring-solution/
  • [34] Wearable technogies. https://www.wearable-technologies.com/2020/04/temp-pal-allows-remote-monitoring-of-covid-19-patients-in-hospitals-and-in-self-quarantine/
  • [35] Temppal product. https://www.iweecare.com/EN/
  • [36] BioButton product. https://biointellisense.com/biobutton
  • [37] Biointellisense. https://biointellisense.com/assets/biobutton-press-release.pdf
  • [38] Aydın Y., Eren T., “Savunma Sanayiinde Stratejik Ürün İçin Çok Kriterli Karar Verme Yöntemleri ile Tedarikçi Seçimi”, Ömer Halisdemir Üniversitesi Mühendislik Bilimleri Dergisi, 7(1): 129-148, (2018)
  • [39] Toksarı M., Toksarı D., “Bulanık Analitik Hiyerarşi Prosesi (AHP) Yaklaşımı Kullanılarak Hedef Pazarın Belirlenmesi”, ODTÜ Gelişme Dergisi, 38: 57-70, (2011)
  • [40] Saaty T., The Analytic Hierarchy Process: Planning, Priority Setting, Resource Alocation, McGraw‐Hill, Hawthorne, (1980)
  • [41] Brans J. P., Vincke P., Mareschal B., “How to select and how to rank projects: The PROMETHEE method”, European Journal of Operational Research, 24(2): 228-238, (1986)
  • [42] Organ A., “Çok Kriterli Karar Verme Yöntemlerinden Bulanık Promethee Yönteminin Konteynır Seçiminde Uygulanması.” Elektronik Sosyal Bilimler Dergisi, 12(45): 252-269, (2013)
  • [43] Bedir N., Eren T., “AHP-PROMETHEE yöntemleri entegrasyonu ile personel seçim problemi: perakende sektöründe bir uygulama”, Sosyal Bilimler Araştırma Dergisi, 4(4): 46-58, (2015)
  • [44] Taş M., Özlemiş Ş. N., Hamurcu M., Eren T., “Ankara’da AHP ve PROMETHEE yaklaşımıyla monoray hat tipinin belirlenmesi”. Ekonomi İşletme Siyaset ve Uluslararası İlişkiler Dergisi, 3(1): 65-89, (2017)
  • [45] Hwang CL, Yoon K., “Multiple Attribute Decision Making: Methods and Applications.” Springer-Verlag. (1981)
  • [46] Visual PROMETHEE, (2020). http://www.promethee-gaia.net/visual-promethee.html?devicelock=desktop

Covid-19 Takibinde Giyilebilir Sağlık Teknolojilerinin ÇKKV Yöntemleri ile Değerlendirilmesi

Year 2022, Volume: 25 Issue: 2, 533 - 543, 01.06.2022
https://doi.org/10.2339/politeknik.768219

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.

References

  • [1] Aslan R., “Tarihten Günümüze Epidemiler, Pandemiler ve Covid-19”, Göller Bölgesi Aylık Ekonomi ve Kültür Dergisi, 85(8):35, (2020)
  • [2] Dikmen A., Kına H., Özkan S., İlhan M., “COVID-19 Epidemiyolojisi: Pandemiden Ne Öğrendik”, Journal of Biotechnology and Strategic Health Research, 4: 29-36, (2020)
  • [3] Ankaralı H., Ankaralı S., Eraslan N., “COVID-19, SARS-CoV2, Enfeksiyonu: Güncel Epidemiyolojik Analiz ve Hastalık Seyrinin Modellemesi”, Anadolu Kliniği Tıp Bilimleri Dergisi, 25(1): 1-22, (2020)
  • [4] Yılmaz A., Güven A., “Wireless Patient Monitoring System”, Electronic Letters on Science and Engineering, 13 (1): 16-30, (2017)
  • [5] Groff C.P., Mulvaney P.L., U.S. Patent No. 6,102,856. Washington, DC: U.S. Patent and Trademark Office, (2000)
  • [6] T.C. Sağlık Bakanlığı Halk Sağlığı Genel Müdürlüğü, Covid-19 Hasta Tedavisi Bilimsel Danışma Kurulu Çalışması, Türkiye, (2020)
  • [7] Lakkireddy D.R., Chung M.K., Gopinathannair R., Patton K.K., Gluckman T.J., Turagam M., Han J. K., Guidance for Cardiac Electrophysiology During the COVID-19 Pandemic from the Heart Rhythm Society COVID-19 Task Force; Electrophysiology Section of the American College of Cardiology; and the Electrocardiography and Arrhythmias Committee of the Council on Clinical Cardiology, American Heart Association. Circulation, 141(21): 823-831, (2020)
  • [8] Gorodeski E.Z., Goyal P., Cox Z.L., Thibodeau J.T., Reay R.E., Rasmusson K., Starling R.C., “Virtual visits for care of patients with heart failure in the era of COVID-19: a statement from the Heart Failure Society of America”, Journal of Cardiac Failure, 26(6): 428-456, (2020)
  • [9] Sun S., Folarin A., Ranjan Y., Rashid Z., Conde P., Cummins N., Buron M., et al., “Using smartphones and wearable devices to monitor behavioural changes during COVID-19”, arXiv preprint arXiv:2004.14331, (2020)
  • [10] Zhu G., Li J., Meng Z., Yu Y., Li Y., Tang X., Wang K., et al., “Learning from Large-Scale Wearable Device Data for Predicting Epidemics Trend of COVID-19”, Discrete Dynamics in Nature and Society, (2020)
  • [11] Wosik J., Fudim M., Cameron B., Gellad Z.F., Cho A., Phinney D., Katz J.N., et al. “Telehealth Transformation: COVID-19 and the rise of Virtual Care”, Journal of the American Medical Informatics Association, 27(6): 957-962, (2020)
  • [12] Singh V.K., Chandna H., Kumar A., Kumar S., Upadhyay N., Utkarsh K., “IoT-Q-Band: A low cost internet of things based wearable band to detect and track absconding COVID-19 quarantine subjects”, EAI Endorsed Transactions on Internet of Things, (2020)
  • [13] Tavakoli M., Carriere J., Torabi A., “Robotics, smart wearable technologies, and autonomous intelligent systems for healthcare during the COVID‐19 pandemic: An analysis of the state of the art and future vision”, Advanced Intelligent Systems, (2020)
  • [14] Zhang F., Wang H., Chen R., Hu W., Zhong Y., Wang X., “Remote monitoring contributes to preventing overwork-related events in health workers on the COVID-19 frontlines”, Precision Clinical Medicine, (2020)
  • [15] Alwashmi M.F., “The use of digital health in the detection and management of COVID-19”, International Journal of Environmental Research and Public Health, 17(8): 2906, (2020)
  • [16] Ktori S., “Wearable tech fuels ai research: sophia ktori discusses the convergence of clinical ai and wearable technology with physiq chairman and ceo gary conkright”. Scientific Computing World, 171:18-20, (2020)
  • [17] Öcal H., Doğru İ.A., Barışçı N., “Akıllı ve geleneksel giyilebilir sağlık cihazlarında nesnelerin interneti”, Politeknik Dergisi, 22(3): 695-714, (2019)
  • [18] Özcan E., Ökten S., Eren T., “Decision making for promising quinoline‐based anticancer agents through combined methodology”, Journal of Biochemical and Molecular Toxicology, (2020)
  • [19] Hamurcu M., Eren T., “Selection of Unmanned Aerial Vehicles by Using Multicriteria Decision-Making for Defence”, Journal of Mathematics, (2020)
  • [20] Eren T., Cihan Ş., Ayan E., Topal T., Yıldırım E. K., “Çok ölçütlü karar verme yöntemleri ile ekokardiyografi cihazı seçiminin yapılması” Sağlık Bilimleri ve Meslekleri Dergisi, 4(1): 41-49, (2017)
  • [21] Özcan E.C., Danışan T., Eren T., “A mathematical model proposal for maintenance strategies optimization of the most critical electrical equipment groups of hydroelectric power plants”, Pamukkale Univ. J. Eng. Sci, 25: 498-506, (2019)
  • [22] Özcan E.C., Danışan T., Yumuşak R., Eren T., “An artificial neural network model supported with multi criteria decision making approaches for maintenance planning in hydroelectric power plants”, Eksploatacja i Niezawodnosc – Maintenance and Reliability, 22 (3): 400–418, (2020)
  • [23] Uğur L.O., “Yapı Makinesi Satın Alımında VIKOR Çok Kriterli Karar Verme Yönteminin Uygulanması”, Politeknik Dergisi, 20(4): 879-885, (2017)
  • [24] Hamurcu M., Alağaş H.M., Eren T., “Selection of rail system projects with analytic hierarchy process and goal programming”, Sigma Journal of Engineering and Natural Sciences, 8(2): 291-302, (2017)
  • [25] World Health Organization. Coronavirus disease 2019 (COVID-19): situation report, 72, (2020)
  • [26] Advanced Remote Monitoring Partners with Wearable Maker KaHa for Continuous COVID-19 Monitoring https://www.wearable-technologies.com/2020/04/advanced-remote-monitoring-partners-with-wearable-maker-kaha-for-continuous-covid-19-monitoring/
  • [27] TempTraq Single-Use Disposable Patch Ideal for Remote Monitoring of Coronavirus Patient https://www.wearable-technologies.com/2020/03/temptraq-single-use-disposable-patch-ideal-for-remote-monitoring-of-coronavirus-patients/
  • [28] Cosinuss Proposes Remote Monitoring Solution for Covid-19 Patients in Home Isolation https://www.wearable-technologies.com/2020/04/cosinuss-proposes-remote-monitoring-solution-for-covid-19-patients-in-home-isolation/
  • [29] WHOOP Partners with CQUniversity and Cleveland Clinic to Study Whether its Wearable Could Identify Hidden COVID-19 Cases https://www.wearable-technologies.com/2020/04/whoop-partners-with-cquniversity-and-cleveland-clinic-to-study-whether-its-wearable-could-identify-hidden-covid-19-cases/
  • [30] VivaLNKproduct. https://www.vivalnk.com/covid-19
  • [31] LifeSignalproduct. https://lifesignals.com/covid19/
  • [32] LifeSignalh ttps://www.st.com/content/ccc/resource/sales_and_marketing/presentation/application_presentation/group0/57/9a/ce/4b/11/cc/4e/0c/Vital_sign_wireless_monitoring/files/Vital_sign_wireless_monitoring.pdf/jcr:content/translations/en.Vital_sign_wireless_monitoring.pdf
  • [33] Spryhealthproduct. https://spryhealth.com/the-loop-monitoring-solution/
  • [34] Wearable technogies. https://www.wearable-technologies.com/2020/04/temp-pal-allows-remote-monitoring-of-covid-19-patients-in-hospitals-and-in-self-quarantine/
  • [35] Temppal product. https://www.iweecare.com/EN/
  • [36] BioButton product. https://biointellisense.com/biobutton
  • [37] Biointellisense. https://biointellisense.com/assets/biobutton-press-release.pdf
  • [38] Aydın Y., Eren T., “Savunma Sanayiinde Stratejik Ürün İçin Çok Kriterli Karar Verme Yöntemleri ile Tedarikçi Seçimi”, Ömer Halisdemir Üniversitesi Mühendislik Bilimleri Dergisi, 7(1): 129-148, (2018)
  • [39] Toksarı M., Toksarı D., “Bulanık Analitik Hiyerarşi Prosesi (AHP) Yaklaşımı Kullanılarak Hedef Pazarın Belirlenmesi”, ODTÜ Gelişme Dergisi, 38: 57-70, (2011)
  • [40] Saaty T., The Analytic Hierarchy Process: Planning, Priority Setting, Resource Alocation, McGraw‐Hill, Hawthorne, (1980)
  • [41] Brans J. P., Vincke P., Mareschal B., “How to select and how to rank projects: The PROMETHEE method”, European Journal of Operational Research, 24(2): 228-238, (1986)
  • [42] Organ A., “Çok Kriterli Karar Verme Yöntemlerinden Bulanık Promethee Yönteminin Konteynır Seçiminde Uygulanması.” Elektronik Sosyal Bilimler Dergisi, 12(45): 252-269, (2013)
  • [43] Bedir N., Eren T., “AHP-PROMETHEE yöntemleri entegrasyonu ile personel seçim problemi: perakende sektöründe bir uygulama”, Sosyal Bilimler Araştırma Dergisi, 4(4): 46-58, (2015)
  • [44] Taş M., Özlemiş Ş. N., Hamurcu M., Eren T., “Ankara’da AHP ve PROMETHEE yaklaşımıyla monoray hat tipinin belirlenmesi”. Ekonomi İşletme Siyaset ve Uluslararası İlişkiler Dergisi, 3(1): 65-89, (2017)
  • [45] Hwang CL, Yoon K., “Multiple Attribute Decision Making: Methods and Applications.” Springer-Verlag. (1981)
  • [46] Visual PROMETHEE, (2020). http://www.promethee-gaia.net/visual-promethee.html?devicelock=desktop
There are 46 citations in total.

Details

Primary Language Turkish
Subjects Engineering
Journal Section Research Article
Authors

Ayşegül Deringöz 0000-0001-9999-0531

Tuğba Danışan 0000-0003-1998-6810

Tamer Eren 0000-0001-5282-3138

Publication Date June 1, 2022
Submission Date July 11, 2020
Published in Issue Year 2022 Volume: 25 Issue: 2

Cite

APA Deringöz, A., Danışan, T., & Eren, T. (2022). Covid-19 Takibinde Giyilebilir Sağlık Teknolojilerinin ÇKKV Yöntemleri ile Değerlendirilmesi. Politeknik Dergisi, 25(2), 533-543. https://doi.org/10.2339/politeknik.768219
AMA Deringöz A, Danışan T, Eren T. Covid-19 Takibinde Giyilebilir Sağlık Teknolojilerinin ÇKKV Yöntemleri ile Değerlendirilmesi. Politeknik Dergisi. June 2022;25(2):533-543. doi:10.2339/politeknik.768219
Chicago Deringöz, Ayşegül, Tuğba Danışan, and Tamer Eren. “Covid-19 Takibinde Giyilebilir Sağlık Teknolojilerinin ÇKKV Yöntemleri Ile Değerlendirilmesi”. Politeknik Dergisi 25, no. 2 (June 2022): 533-43. https://doi.org/10.2339/politeknik.768219.
EndNote Deringöz A, Danışan T, Eren T (June 1, 2022) Covid-19 Takibinde Giyilebilir Sağlık Teknolojilerinin ÇKKV Yöntemleri ile Değerlendirilmesi. Politeknik Dergisi 25 2 533–543.
IEEE A. Deringöz, T. Danışan, and T. Eren, “Covid-19 Takibinde Giyilebilir Sağlık Teknolojilerinin ÇKKV Yöntemleri ile Değerlendirilmesi”, Politeknik Dergisi, vol. 25, no. 2, pp. 533–543, 2022, doi: 10.2339/politeknik.768219.
ISNAD Deringöz, Ayşegül et al. “Covid-19 Takibinde Giyilebilir Sağlık Teknolojilerinin ÇKKV Yöntemleri Ile Değerlendirilmesi”. Politeknik Dergisi 25/2 (June 2022), 533-543. https://doi.org/10.2339/politeknik.768219.
JAMA Deringöz A, Danışan T, Eren T. Covid-19 Takibinde Giyilebilir Sağlık Teknolojilerinin ÇKKV Yöntemleri ile Değerlendirilmesi. Politeknik Dergisi. 2022;25:533–543.
MLA Deringöz, Ayşegül et al. “Covid-19 Takibinde Giyilebilir Sağlık Teknolojilerinin ÇKKV Yöntemleri Ile Değerlendirilmesi”. Politeknik Dergisi, vol. 25, no. 2, 2022, pp. 533-4, doi:10.2339/politeknik.768219.
Vancouver Deringöz A, Danışan T, Eren T. Covid-19 Takibinde Giyilebilir Sağlık Teknolojilerinin ÇKKV Yöntemleri ile Değerlendirilmesi. Politeknik Dergisi. 2022;25(2):533-4.

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