Applications of Multi-Criteria Decision-Making Theories in Healthcare and Biomedical Engineering

1st Edition - March 25, 2021
Imprint: Academic Press
Editors: Ilker Ozsahin, Dilber Uzun Ozsahin, Berna Uzun
Language: English
Paperback ISBN:
9 7 8 - 0 - 1 2 - 8 2 4 0 8 6 - 1
eBook ISBN:
9 7 8 - 0 - 1 2 - 8 2 4 0 8 7 - 8

Applications of Multi-Criteria Decision-Making Theories in Healthcare and Biomedical Engineering contains several practical applications on how decision-making theory could be… Read more

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Applications of Multi-Criteria Decision-Making Theories in Healthcare and Biomedical Engineering contains several practical applications on how decision-making theory could be used in solving problems relating to the selection of best alternatives. The book focuses on assisting decision-makers (government, organizations, companies, general public, etc.) in making the best and most appropriate decision when confronted with multiple alternatives. The purpose of the analytical MCDM techniques is to support decision makers under uncertainty and conflicting criteria while making logical decisions.

The knowledge of the alternatives of the real-life problems, properties of their parameters, and the priority given to the parameters have a great effect on consequences in decision-making. In this book, the application of MCDM has been provided for the real-life problems in health and biomedical engineering issues.

Cover
Title page
Contents
Copyright
Contributors
Chapter 1: Introduction
Abstract
1.1. Introduction
1.2. The components of the MCDM problem
Chapter 2: Theoretical aspects of multi-criteria decision-making (MCDM) methods
Abstract
2.1. Introduction
2.2. History of multi-criteria decision-making analysis (MCDA)
2.3. Definition of concepts
2.4. Multi-criteria Decision Analysis (MCDA)
Chapter 3: Fuzzy PROMETHEE-based evaluation of brain cancer treatment techniques
Abstract
3.1. Introduction
3.2. Treatment techniques
3.3. Materials and methodology
3.4. Results and discussion
3.5. Conclusions
Chapter 4: Evaluation of stage IV brain cancer treatment techniques
Abstract
4.1. Introduction
4.2. Stage IV brain cancer treatment techniques
4.3. Materials and methods
4.4. Results
4.5. Discussion
4.6. Conclusions
Chapter 5: Analysis of early stage breast cancer treatment techniques
Abstract
5.1. Introduction
5.2. Fuzzy logic and PROMETHEE
5.3. Results
5.4. Conclusion
Chapter 6: Fuzzy PROMETHEE–based evaluation of skin cancer treatment techniques
Abstract
6.1. Introduction
6.2. Surgical treatment techniques
6.3. Nonsurgical treatment techniques
6.4. Methodology
6.5. Results and discussion
6.6. Conclusions
Chapter 7: Fuzzy PROMETHEE–based evaluation of prostate cancer treatment techniques
Abstract
7.1. Introduction
7.2. Prostate cancer therapy techniques
7.3. Methodology
7.4. Results and discussion
7.5. Conclusions
Chapter 8: Comparative evaluation of point-of-care glucometer devices in the management of diabetes mellitus
Abstract
8.1. Introduction
8.2. Selected glucometers
8.3. Materials and methods
8.4. Results
8.5. Conclusions
Chapter 9: Comparison of MRI devices in dentistry
Abstract
9.1. Introduction
9.2. Materials and methods
9.3. Results and discussion
9.4. Conclusion
Chapter 10: Application of fuzzy PROMETHEE on hearing aid
Abstract
10.1. Introduction
10.2. Materials and methods
10.3. Fuzzy PROMETHEE
10.4. Results and discussion
10.5. Conclusions
Chapter 11: A comparative study of X-ray based medical imaging devices
Abstract
11.1. Introduction
11.2. Medical imaging devices
11.3. Methodology
11.4. Results
11.5. Conclusions
Chapter 12: Evaluation and simulation of dental instrument sterilization techniques with fuzzy PROMETHEE
Abstract
12.1. Introduction
12.2. Materials and methods
12.3. Fuzzy logic
12.4. Results and discussion
12.5. Conclusion
Acknowledgments
Chapter 13: Application of fuzzy TOPSIS in the sterilization of medical devices
Abstract
13.1. Introduction
13.2. History
13.3. Attribute of a standard sterilization method
13.4. Methods of sterilization
13.5. Methodology
13.6. Results
13.7. Conclusions
Chapter 14: Evaluation of the effectiveness of adult HIV antiretroviral treatment regimens using TOPSIS
Abstract
14.1. Introduction
14.2. Methods and materials
14.3. Results
14.4. Discussion and conclusion
Chapter 15: Evaluating the effectiveness of recommended HIV adult postexposure prophylaxis drug regimens by using fuzzy PROMETHEE
Abstract
15.1. Introduction
15.2. Materials and methods
15.3. Results
15.4. Discussion
15.5. Conclusion
Chapter 16: The use of multicriteria decision-making method—fuzzy VIKOR in antiretroviral treatment decision in pediatric HIV-infected cases
Abstract
16.1. Introduction
16.2. Methods and materials
16.3. Fuzzy VIKOR application
16.4. Results
16.5. Conclusion
Chapter 17: Evaluation of oral antiviral treatments for chronic Hepatitis B using fuzzy PROMETHEE
Abstract
17.1. Introduction
17.2. Epidemiology of hepatitis B
17.3. The natural history of hepatitis B virus infection
17.4. Antiviral drugs against HBV
17.5. Fuzzy based PROMETHEE application results
17.6. Conclusions
Chapter 18: Evaluation of migraine drugs using MCDM methods
Abstract
18.1. Introduction
18.2. Definition and characteristics of migraines
18.3. Causes and triggers of migraine
18.4. Overview of migraine medications
18.5. Literature review
18.6. Materials and methods: TOPSIS
18.7. Results and discussion
Chapter 19: Top cancer treatment destinations: a comparative analysis using fuzzy PROMETHEE
Abstract
19.1. Introduction
19.2. Standard cancer care
19.3. Materials and methods
19.4. Selected cancer treatment criteria
19.5. Findings and discussion
19.6. Conclusions
Index

Ilker Ozsahin

Assoc. Prof. Ilker Ozsahin is a highly experienced professional in the field of medical imaging, specializing in technologies such as Positron Emission Tomography, Positron Emission Mammography, Single Photon Emission Computed Tomography, and Compton Camera. With a diverse scientific background encompassing high-energy physics, solid-state physics, and medical imaging, he has conducted research across various prestigious institutions worldwide. Ilker's academic pursuits have taken him to the University of Illinois in the USA, where he studied carbon nanotube formation, and to Universidad Autonoma de Barcelona in Spain, where he completed his PhD studies on PET. Additionally, he served as a research assistant at Cukurova University in Turkey for six years while pursuing his PhD. Following the completion of his doctoral degree, he was awarded the International Postdoctoral Research Scholarship by The Scientific and Technological Research Council of Turkey, enabling him to conduct postdoctoral research at Harvard Medical School (HMS) and Massachusetts General Hospital (MGH). During this time, he contributed to the development of advanced gamma cameras and image reconstruction algorithms, as well as investigating the impact of general anesthesia on brain function in small animals using functional imaging techniques. Ilker has also worked as a visiting postdoctoral fellow at the University of Macau, focusing on multi-pinhole SPECT collimator design for brain, cardiac, and small animal imaging. Additionally, he has conducted research at CERN for HCAL upgrade studies in the CMS experiment. Currently, Ilker serves as an Associate Professor in the Biomedical Engineering Department at Near East University and holds the position of visiting fellow at Cornell University.

Affiliations and expertise

Associate Professor, Biomedical Engineering Department, Near East University, USA

Dilber Uzun Ozsahin

Dr. Dilber Uzun Ozsahin is an accomplished Associate Professor in the Medical Diagnostic Imaging Department of the College of Health Science at the University of Sharjah. She serves as the director of the Operational Research Centre in Healthcare at the Near East University since 2020 and is establishing a new research group focused on operational research and integrated artificial intelligence in healthcare at the University of Sharjah.

Affiliations and expertise

Associate Professor, Medical Diagnostic Imaging Department, College of Health Science, University of Sharjah, United Arab Emirates

Berna Uzun

Berna Uzun graduated from Çukurova University Mathematics Department in 2009. She got her Masters Degree from Çukurova University, Econometrics Department Adana/Turkey in 2015. During her Master study between 2012-2013, she has studied at Lazarski University Economics Department Warsaw/Poland and between 2014-2015 she did internship at University of Autonoma de Barcelona, Barcelona/Spain, as an assistant of institute manager. Her research interest area is mainly on Fuzzy Sets, Fuzzy Markov Chains and its Economic Applications, Operational Research. She joined Near East University, Faculty of Engineering in September 29, 2016 as an instructor.

Affiliations and expertise

Faculty of Engineering, Near East University, Turkey

Life Sciences

Physical Sciences & Engineering

Social Sciences & Humanities

Health

Applications of Multi-Criteria Decision-Making Theories in Healthcare and Biomedical Engineering

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Ilker Ozsahin

Dilber Uzun Ozsahin

Berna Uzun

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