A type-2 fuzzy rule-based model for diagnosis of COVID-19

İhsan ŞAHİN, (Yıldız Teknik Üniversitesi, Makine Fakültesi, Mekatronik Mühendisliği Bölümü, İstanbul, Türkiye)
Erhan AKDOĞAN, (Türkiye Sağlık Enstitüleri, İstanbul, Türkiye)
Mehmet Emin AKTAN (Bartın Üniversitesi, Mühendislik, Mimarlık ve Tasarım Fakültesi, Mekatronik Mühendisliği Bölümü, Bartın, Türkiye)
Turkish Journal of Electrical Engineering and Computer Sciences
5 0
Yıl: 2023 Cilt: 31 Sayı: 1 Sayfa Aralığı: 39 - 52 Metin Dili: İngilizce DOI: 10.55730/1300-0632.3970 İndeks Tarihi: 16-05-2023

A type-2 fuzzy rule-based model for diagnosis of COVID-19

Öz:
In this study, a type-2 fuzzy logic-based decision support system comprising clinical examination and blood test results that health professionals can use in addition to existing methods in the diagnosis of COVID-19 has been developed. The developed system consists of three fuzzy units. The first fuzzy unit produces COVID-19 positivity as a percentage according to the respiratory rate, loss of smell, and body temperature values, and the second fuzzy unit according to the C-reactive protein, lymphocyte, and D-dimer values obtained as a result of the blood tests. In the third fuzzy unit, the COVID-19 positivity risks according to the clinical examination and blood analysis results, which are the outputs of the first and second fuzzy units, are evaluated together and the result is obtained. As a result of the evaluation of the trials with 60 different scenarios by physicians, it has been revealed that the system can detect COVID-19 risk with 86.6% accuracy.
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APA ŞAHİN İ, AKDOGAN E, Aktan M (2023). A type-2 fuzzy rule-based model for diagnosis of COVID-19. , 39 - 52. 10.55730/1300-0632.3970
Chicago ŞAHİN İHSAN,AKDOGAN ERHAN,Aktan Mehmet Emin A type-2 fuzzy rule-based model for diagnosis of COVID-19. (2023): 39 - 52. 10.55730/1300-0632.3970
MLA ŞAHİN İHSAN,AKDOGAN ERHAN,Aktan Mehmet Emin A type-2 fuzzy rule-based model for diagnosis of COVID-19. , 2023, ss.39 - 52. 10.55730/1300-0632.3970
AMA ŞAHİN İ,AKDOGAN E,Aktan M A type-2 fuzzy rule-based model for diagnosis of COVID-19. . 2023; 39 - 52. 10.55730/1300-0632.3970
Vancouver ŞAHİN İ,AKDOGAN E,Aktan M A type-2 fuzzy rule-based model for diagnosis of COVID-19. . 2023; 39 - 52. 10.55730/1300-0632.3970
IEEE ŞAHİN İ,AKDOGAN E,Aktan M "A type-2 fuzzy rule-based model for diagnosis of COVID-19." , ss.39 - 52, 2023. 10.55730/1300-0632.3970
ISNAD ŞAHİN, İHSAN vd. "A type-2 fuzzy rule-based model for diagnosis of COVID-19". (2023), 39-52. https://doi.org/10.55730/1300-0632.3970
APA ŞAHİN İ, AKDOGAN E, Aktan M (2023). A type-2 fuzzy rule-based model for diagnosis of COVID-19. Turkish Journal of Electrical Engineering and Computer Sciences, 31(1), 39 - 52. 10.55730/1300-0632.3970
Chicago ŞAHİN İHSAN,AKDOGAN ERHAN,Aktan Mehmet Emin A type-2 fuzzy rule-based model for diagnosis of COVID-19. Turkish Journal of Electrical Engineering and Computer Sciences 31, no.1 (2023): 39 - 52. 10.55730/1300-0632.3970
MLA ŞAHİN İHSAN,AKDOGAN ERHAN,Aktan Mehmet Emin A type-2 fuzzy rule-based model for diagnosis of COVID-19. Turkish Journal of Electrical Engineering and Computer Sciences, vol.31, no.1, 2023, ss.39 - 52. 10.55730/1300-0632.3970
AMA ŞAHİN İ,AKDOGAN E,Aktan M A type-2 fuzzy rule-based model for diagnosis of COVID-19. Turkish Journal of Electrical Engineering and Computer Sciences. 2023; 31(1): 39 - 52. 10.55730/1300-0632.3970
Vancouver ŞAHİN İ,AKDOGAN E,Aktan M A type-2 fuzzy rule-based model for diagnosis of COVID-19. Turkish Journal of Electrical Engineering and Computer Sciences. 2023; 31(1): 39 - 52. 10.55730/1300-0632.3970
IEEE ŞAHİN İ,AKDOGAN E,Aktan M "A type-2 fuzzy rule-based model for diagnosis of COVID-19." Turkish Journal of Electrical Engineering and Computer Sciences, 31, ss.39 - 52, 2023. 10.55730/1300-0632.3970
ISNAD ŞAHİN, İHSAN vd. "A type-2 fuzzy rule-based model for diagnosis of COVID-19". Turkish Journal of Electrical Engineering and Computer Sciences 31/1 (2023), 39-52. https://doi.org/10.55730/1300-0632.3970
Sayfa Oluşturulma Tarihi
24-04-2024 6:10

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