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.
- Provides a comprehensive analysis and application multi-criteria decision-making methods
- Presents detail information about MCDM and their usage
- Covers state-of-the-art MCDM methods and offers applications of MCDM for health and biomedical engineering purposes
1. Introduction 2. Theoretical Aspects of Multi-Criteria Decision-Making (MCDM) Techniques 3. Effective Analysis of Brain Cancer Treatment Techniques using MCDM 4. Evaluation of Stage IV Brain Cancer Treatment Techniques using MCDM 5. Evaluation and Simulation of Breast Cancer Stage II Treatment Techniques using MCDM 6. Evaluation of Skin Cancer Treatment Techniques 7. Prostate Cancer Therapy Techniques with Fuzzy PROMETHEE 8. Evaluation of 8 Point Care Glucometer Devices in the Management of Diabetes Mellitus 9. Comparison of Diabetes Mellitus Using Multi-Criteria Decision Theory 10. Comparison of MRI Devices in Dentistry 11. Fuzzy MCDM Application for Ear Hearing Aids 12. Evaluating X-Ray based Medical Imaging Devices 13. Analysis of the artificial hearth devices using MCDM 14. Evaluation and simulation of dental instruments sterilisation techniques with Fuzzy PROMETHEE 15. Evaluation of Sterilization Methods for Medical Devices 16. Efficacy Evaluation of Antiretroviral Drug Combinations for HIV-1 Treatment by MCDM Techniques 17. Evaluating the Efficacy of Adult HIV Post Exposure Prophylaxis Regimens in Relation to Transmission Risk Factors by MCDM Techniques 18. Determination of Post-Exposure Prophylaxis Regimen in the Prevention of Potential Pediatric HIV-1 Infection by the MCDM Techniques 19. The Use of MCDTs in Antiretroviral Combination Decision in Pediatric HIV Treatments 20. Selection of the Most Appropriate Antiretroviral Medication in Determined Aged Groups (?3 years) of HIV-1 Infected Children by MCDM Techniques 21. Evaluation of the Hepatitis B Medications by MCDM 22. Evaluation of Direct Acting Antiviral Treatments for Chronic Hepatitis C Using Fuzzy Promethee 23. Evaluation of Migraine Drugs using MCDM 24. Risk Factors Associated with Suicidal Ideation in University Students 25. Top Cancer Treatment Destinations: Comparative Analysis Using Fuzzy Promethee
Ilker Ozsahin has extensive experience in medical imaging devices including modelling, simulation and image reconstruction such as Positron Emission Tomography (PET), Positron Emission Mammography (PEM), Single Photon Emission Computed Tomography (SPECT), and Compton Camera (CC). After obtaining his PhD, he was awarded the International Postdoctoral Research Scholarship from The Scientific and Technological Research Council of Turkey (TUBITAK) for Harvard Medical School and Massachusetts General Hospital for one year and then was supported by Harvard for his further postdoctoral studies. During his two years, he worked on new generation gamma camera and developing imaging algorithms. Furthermore, he is working on the effects of general anaesthesia on the brain function of small animals with a novel functional imaging paradigm, as well as understanding the mechanism of general anaesthesia which is one of the biggest mysteries of modern medicine. He is also working on a novel motion correction technique for patients undergoing PET scans.
Ozsahin, Dilber Uzun
Dilber Uzun Ozsahin graduated from the Department of the Physics of Çukurova University in 2006. She has worked at CERN, Geneva, during 2008-2010 for her Master thesis. She completed her Ph.D. studies in 2014 in Universitat Autonoma de Barcelona, Spain. In 2015, she started to work at Gordon Center for Medical Imaging, NMMI Radiology Department, Massachusetts General Hospital & Harvard Medical School as a post-doc. She has worked a new technique called laser-induced optical barriers (LIOB) technique to improve nuclear medicine imaging devises cost and performance. She has cost-effectively designed high-performance cardiac SPECT systems using the LIOB technique. She is currently working on Multi-Criteria Decision Techniques on Healthcare and Biomedical Engineering at Near East University, Faculty of Engineering, Department of Biomedical Engineering as an Assoc. Prof. Dr.
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.