Prioritizing the glucose-lowering medicines for type 2 diabetes by an extended fuzzy decision-making approach with target-based attributes.
Different therapeutic classes have been authorized for the treatment of hyperglycemia in type 2 diabetic patients, and even more drug classes are under development. This variety of alternative treatments and the general treatment algorithms of the clinical guidelines lead to a nonuniform prescriptio...
| Publicado en: | Medical & Biological Engineering & Computing Vol. 60; no. 8; pp. 2423 - 2445 |
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| Autores principales: | , , , |
| Formato: | Journal Article |
| Publicado: |
Springer Nature
Aug2022
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=158037388&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 158037388 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 01400118 PO0 jtl: Medical & Biological Engineering & Computing issn: 01400118 maglogo: N pubinfo: dt: Aug2022 vid: 60 iid: 8 pid: 237 pub: Springer Nature place: New York, New York artinfo: ui: 158037388 157735806 158037388 NLM35776373 10.1007/s11517-022-02602-3 NLM35776373 158037388 ppf: 2423 ppct: 22 formats: fmt: – @attributes: type: T – @attributes: type: P tig: atl: Prioritizing the glucose-lowering medicines for type 2 diabetes by an extended fuzzy decision-making approach with target-based attributes. aug: au: Eghbali-Zarch, Maryam Tavakkoli-Moghaddam, Reza Esfahanian, Fatemeh Masoud, Sara affil: Department of Industrial Engineering, Faculty of Engineering, Alzahra University, Tehran, Iran sug: subj: Diabetes Mellitus, Type 2 Drug Therapy Hyperglycemia Decision Making Glucose Logic ab: Different therapeutic classes have been authorized for the treatment of hyperglycemia in type 2 diabetic patients, and even more drug classes are under development. This variety of alternative treatments and the general treatment algorithms of the clinical guidelines lead to a nonuniform prescription of drugs by endocrinologists and diabetic specialists. Diabetes medication choice is a multi-objective problem with many difficulties in making rational decisions because of the wide range of hyperglycemia-lowering agents with multiple benefits and multiple risk elements. This paper proposes a group Entropy-CRiteria Importance Through Inter-criteria Correlation (CRITIC)-Weighted Aggregated Sum Product ASsessment (WASPAS) multi-criteria decision-making (MCDM) model with target-based criteria to prioritize and rank the glucose-lowering medicines for type 2 diabetes using the American Diabetes Association and International Diabetes Federation Clinical Guidelines. The proposed model consists of a weighting method comprising both objective and subjective approaches; the two most common objective approaches (i.e., Entropy and CRITIC methods) are used to find the objective weights. Then, these weights are aggregated with the subjective weights that endocrinologists assign to the criteria. Afterward, a WASPAS target-based method is developed to provide the final ranking of the medications. Finally, the close correlation between the final ranking of the proposed methodology and the average priority order of the medications obtained by different MCDM methods implies the strength and validity of the model performance. pubtype: Academic Journal doctype: Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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