Evaluating X-Ray based Medical Imaging Devices with Fuzzy Preference Ranking Organization Method for Enrichment Evaluations

Ozsahin, Dilber Uzun; Uzun, Berna; Musa, Musa Sani; Ozsahin, Ilker

doi:10.14569/ijacsa.2018.090302

Cited by 15 publications

(2 citation statements)

References 11 publications

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“…When the x-rays leave the breast, they are collected by the x-ray cassette, which is located on the opposite side of the x-ray tube. The collected information can be printed from the cassette as an image [4].…”

Section: Jinst 15 C05029mentioning

confidence: 99%

Evaluation and simulation of breast cancer imaging devices using multi-criteria decision theory

Erdagli¹,

Ozsahin

Uzun³

2020

J. Inst.

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Breast cancer is the most common type of cancer seen in women. The incidence of breast cancer increases with age. The most important factor in breast cancer is that it is diagnosed before spreading to other organs by the blood or lymph circulation. When cancer is diagnosed at an early stage, the success rate of breast cancer treatment is over 90%. For this reason, breast cancer imaging devices should be used for early diagnosis of breast cancer. The main aim of this study is to shed more light on the parameters that affect the different imaging device alternatives for breast cancer and how these parameters affect the preference ranking of each imaging technique. In this study, the most commonly used imaging devices for breast cancer are analysed based on various parameters that are likely to affect the outcome of the imaging methods. These parameters are the cost per scan, cost of the device, radiation dose, specificity, sensitivity, total scan time, spatial resolution, comparison with the natural radiation exposure, real 3D, compression and claustrophobia. According to this study, positron emission mammography and breast computed tomography are the best breast cancer imaging techniques for both patients and hospitals. The analysis and ranking were evaluated and compared using fuzzy PROMETHEE, a multi-criteria decision-making technique. K: Computerized Tomography (CT) and Computed Radiography (CR); Gamma camera, SPECT, PET PET/CT, coronary CT angiography (CTA); Medical-image reconstruction methods and algorithms, computer-aided diagnosis; X-ray mammography and scinto-and MRI-mammography 1Corresponding author.

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Section: Jinst 15 C05029mentioning

confidence: 99%

Evaluation and simulation of breast cancer imaging devices using multi-criteria decision theory

Erdagli¹,

Ozsahin

Uzun³

2020

J. Inst.

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“…The PROMETHEE technique was developed by Brans and Vincle in 1985 [32]. Since then, it has been used successfully as an MCDM technique in many fields [33], and recently, it has been applied to medicine, healthcare [34][35][36][37][38][39][40][41][42][43] etc. VIKOR is another commonly-used MCDM technique that determines the order of alternatives under conflicting criteria based on the closeness to the ideal solution [44].…”

Section: Introductionmentioning

confidence: 99%

A Clinical Decision Support System for the Treatment of COVID-19 with Multi-Criteria Decision-Making Techniques (Preprint)

Ozsahin¹

2020

Preprint

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BACKGROUND The outbreak of coronavirus disease 2019 (COVID-19) was first reported in December 2019. Until now, many drugs and methods have been used in the treatment of the disease. However, no effective treatment option has been found and only case-based successes have been achieved so far. OBJECTIVE This study aims to evaluate the COVID-19 treatment options using multi-criteria decision-making (MCDM) techniques. METHODS In this study, we evaluated the available COVID-19 treatment options by MCDM techniques, namely fuzzy PROMETHEE and VIKOR. This technique is based on the evaluation and comparison of complex and multiple criteria to evaluate the most appropriate alternative. We evaluated current treatment options including favipiravir (FPV), lopinavir/ritonavir, hydroxychloroquine, interleukin-1 blocker, intravenous immunoglobulin (IVIG), and plasma exchange. The criteria used for the analysis include side effects, method of administration of the drug, cost, turnover of plasma, level of fever, age, pregnancy, and kidney function. RESULTS The results showed that plasma exchange was the most preferred alternative, followed by FPV and IVIG, while hydroxychloroquine was the least favorable one. New alternatives could be considered once they are available, and weights could be assigned based on the opinions of the decision makers (physicians/clinicians). CONCLUSIONS We showed the applicability of the MCDM techniques in informing decision makers in choosing the right treatment technique for the management of COVID-19.

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Efficacy Evaluation of Antiretroviral Drug Combinations for HIV-1 Treatment by Using the Fuzzy PROMETHEE

Sayan

Ozsahin

Şanlıdağ

et al. 2019

Advances in Intelligent Systems and Computing

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Evaluating X-Ray based Medical Imaging Devices with Fuzzy Preference Ranking Organization Method for Enrichment Evaluations

Cited by 15 publications

References 11 publications

Evaluation and simulation of breast cancer imaging devices using multi-criteria decision theory

Evaluation and simulation of breast cancer imaging devices using multi-criteria decision theory

A Clinical Decision Support System for the Treatment of COVID-19 with Multi-Criteria Decision-Making Techniques (Preprint)

Efficacy Evaluation of Antiretroviral Drug Combinations for HIV-1 Treatment by Using the Fuzzy PROMETHEE

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