A Decision Support System Proposition for Type-2 Diabetes Mellitus Treatment Using Spherical Fuzzy AHP Method

Sezi Cevik Onar*, Enes Hakan Ibil

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Özet

The number of Type-2 Diabetes patients on a global scale has reached 463 million as of 2019, and it is predicted that this number will exceed 700 million by 2045. Type-2 Diabetes disease causes complications that seriously reduce the quality of life for patients and can be fatal at times, and 10% of global health expenditures are allocated to diabetes and diabetes-related diseases. The importance of the necessity of using personalized treatment methods by considering each patient as a separate case in the treatment process of Type-2 Diabetes is emphasized in the studies. In this study, the best oral anti-diabetic combination for patients in different risk groups was tried to be determined using the Spherical Fuzzy AHP method by referring to the treatment approach included in the national diabetes treatment guide. Our study is original with the first use of the Spherical AHP method in the personalized medical literature.

Orijinal dilİngilizce
Ana bilgisayar yayını başlığıIntelligent and Fuzzy Techniques for Emerging Conditions and Digital Transformation - Proceedings of the INFUS 2021 Conference
EditörlerCengiz Kahraman, Selcuk Cebi, Sezi Cevik Onar, Basar Oztaysi, A. Cagri Tolga, Irem Ucal Sari
YayınlayanSpringer Science and Business Media Deutschland GmbH
Sayfalar749-756
Sayfa sayısı8
ISBN (Basılı)9783030855765
DOI'lar
Yayın durumuYayınlandı - 2022
EtkinlikInternational Conference on Intelligent and Fuzzy Systems, INFUS 2021 - Istanbul, Turkey
Süre: 24 Ağu 202126 Ağu 2021

Yayın serisi

AdıLecture Notes in Networks and Systems
Hacim308
ISSN (Basılı)2367-3370
ISSN (Elektronik)2367-3389

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???event.eventtypes.event.conference???International Conference on Intelligent and Fuzzy Systems, INFUS 2021
Ülke/BölgeTurkey
ŞehirIstanbul
Periyot24/08/2126/08/21

Bibliyografik not

Publisher Copyright:
© 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG.

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