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

Sezi Cevik Onar; Enes Hakan Ibil

doi:10.1007/978-3-030-85577-2_88

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

Sezi Cevik Onar^*, Enes Hakan Ibil

^*Bu çalışma için yazışmadan sorumlu yazar

Endüstri Mühendisliği Bölümü

Istanbul Technical University

Araştırma sonucu: Kitap/Rapor/Konferans Bildirisinde Bölüm › Konferans katkısı › bilirkişi

2 Atıf (Scopus)

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 dil	İngilizce
Ana bilgisayar yayını başlığı	Intelligent and Fuzzy Techniques for Emerging Conditions and Digital Transformation - Proceedings of the INFUS 2021 Conference
Editörler	Cengiz Kahraman, Selcuk Cebi, Sezi Cevik Onar, Basar Oztaysi, A. Cagri Tolga, Irem Ucal Sari
Yayınlayan	Springer Science and Business Media Deutschland GmbH
Sayfalar	749-756
Sayfa sayısı	8
ISBN (Basılı)	9783030855765
DOI'lar	https://doi.org/10.1007/978-3-030-85577-2_88
Yayın durumu	Yayınlandı - 2022
Etkinlik	International Conference on Intelligent and Fuzzy Systems, INFUS 2021 - Istanbul, Turkey Süre: 24 Ağu 2021 → 26 Ağu 2021

Yayın serisi

Adı	Lecture Notes in Networks and Systems
Hacim	308
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/Bölge	Turkey
Şehir	Istanbul
Periyot	24/08/21 → 26/08/21

Bibliyografik not

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

BM SKH

Bu sonuç, aşağıdaki Sürdürülebilir Kalkınma Hedefine/Hedeflerine katkıda bulunur

Belgeye Erişim

10.1007/978-3-030-85577-2_88

Diğer Dosyalar ve Linkler

Link to publication in Scopus

Alıntı Yap

Onar, S. C., & Ibil, E. H. (2022). A Decision Support System Proposition for Type-2 Diabetes Mellitus Treatment Using Spherical Fuzzy AHP Method. In C. Kahraman, S. Cebi, S. Cevik Onar, B. Oztaysi, A. C. Tolga, & I. U. Sari (Eds.), Intelligent and Fuzzy Techniques for Emerging Conditions and Digital Transformation - Proceedings of the INFUS 2021 Conference (pp. 749-756). (Lecture Notes in Networks and Systems; Hac. 308). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-3-030-85577-2_88

Onar, Sezi Cevik ; Ibil, Enes Hakan. / A Decision Support System Proposition for Type-2 Diabetes Mellitus Treatment Using Spherical Fuzzy AHP Method. Intelligent and Fuzzy Techniques for Emerging Conditions and Digital Transformation - Proceedings of the INFUS 2021 Conference. editör / Cengiz Kahraman ; Selcuk Cebi ; Sezi Cevik Onar ; Basar Oztaysi ; A. Cagri Tolga ; Irem Ucal Sari. Springer Science and Business Media Deutschland GmbH, 2022. pp. 749-756 (Lecture Notes in Networks and Systems).

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

abstract = "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.",

keywords = "Spherical fuzzy AHP, Tailored medicine, Type 2 diabetes mellitus",

author = "Onar, {Sezi Cevik} and Ibil, {Enes Hakan}",

note = "Publisher Copyright: {\textcopyright} 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG.; International Conference on Intelligent and Fuzzy Systems, INFUS 2021 ; Conference date: 24-08-2021 Through 26-08-2021",

year = "2022",

doi = "10.1007/978-3-030-85577-2_88",

language = "English",

isbn = "9783030855765",

series = "Lecture Notes in Networks and Systems",

publisher = "Springer Science and Business Media Deutschland GmbH",

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editor = "Cengiz Kahraman and Selcuk Cebi and {Cevik Onar}, Sezi and Basar Oztaysi and Tolga, {A. Cagri} and Sari, {Irem Ucal}",

booktitle = "Intelligent and Fuzzy Techniques for Emerging Conditions and Digital Transformation - Proceedings of the INFUS 2021 Conference",

address = "Germany",

}

Onar, SC & Ibil, EH 2022, A Decision Support System Proposition for Type-2 Diabetes Mellitus Treatment Using Spherical Fuzzy AHP Method. in C Kahraman, S Cebi, S Cevik Onar, B Oztaysi, AC Tolga & IU Sari (eds), Intelligent and Fuzzy Techniques for Emerging Conditions and Digital Transformation - Proceedings of the INFUS 2021 Conference. Lecture Notes in Networks and Systems, hac. 308, Springer Science and Business Media Deutschland GmbH, pp. 749-756, International Conference on Intelligent and Fuzzy Systems, INFUS 2021, Istanbul, Turkey, 24/08/21. https://doi.org/10.1007/978-3-030-85577-2_88

A Decision Support System Proposition for Type-2 Diabetes Mellitus Treatment Using Spherical Fuzzy AHP Method. / Onar, Sezi Cevik; Ibil, Enes Hakan.
Intelligent and Fuzzy Techniques for Emerging Conditions and Digital Transformation - Proceedings of the INFUS 2021 Conference. ed. / Cengiz Kahraman; Selcuk Cebi; Sezi Cevik Onar; Basar Oztaysi; A. Cagri Tolga; Irem Ucal Sari. Springer Science and Business Media Deutschland GmbH, 2022. p. 749-756 (Lecture Notes in Networks and Systems; Hac. 308).

Araştırma sonucu: Kitap/Rapor/Konferans Bildirisinde Bölüm › Konferans katkısı › bilirkişi

TY - GEN

T1 - A Decision Support System Proposition for Type-2 Diabetes Mellitus Treatment Using Spherical Fuzzy AHP Method

AU - Onar, Sezi Cevik

AU - Ibil, Enes Hakan

PY - 2022

Y1 - 2022

N2 - 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.

AB - 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.

KW - Spherical fuzzy AHP

KW - Tailored medicine

KW - Type 2 diabetes mellitus

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U2 - 10.1007/978-3-030-85577-2_88

DO - 10.1007/978-3-030-85577-2_88

M3 - Conference contribution

AN - SCOPUS:85115241724

SN - 9783030855765

T3 - Lecture Notes in Networks and Systems

SP - 749

EP - 756

BT - Intelligent and Fuzzy Techniques for Emerging Conditions and Digital Transformation - Proceedings of the INFUS 2021 Conference

A2 - Kahraman, Cengiz

A2 - Cebi, Selcuk

A2 - Cevik Onar, Sezi

A2 - Oztaysi, Basar

A2 - Tolga, A. Cagri

A2 - Sari, Irem Ucal

PB - Springer Science and Business Media Deutschland GmbH

T2 - International Conference on Intelligent and Fuzzy Systems, INFUS 2021

Y2 - 24 August 2021 through 26 August 2021

ER -

Onar SC, Ibil EH. A Decision Support System Proposition for Type-2 Diabetes Mellitus Treatment Using Spherical Fuzzy AHP Method. In Kahraman C, Cebi S, Cevik Onar S, Oztaysi B, Tolga AC, Sari IU, editörler, Intelligent and Fuzzy Techniques for Emerging Conditions and Digital Transformation - Proceedings of the INFUS 2021 Conference. Springer Science and Business Media Deutschland GmbH. 2022. p. 749-756. (Lecture Notes in Networks and Systems). doi: 10.1007/978-3-030-85577-2_88

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

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BM SKH

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