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

Häftad, Engelska, 2021

Av Ilker Ozsahin, Dilber Uzun Ozsahin, Berna Uzun, USA) Ozsahin, Ilker, PhD (Associate Professor, Biomedical Engineering Department, Near East University, United Arab Emirates) Ozsahin, Dilber Uzun, PhD (Associate Professor, Medical Diagnostic Imaging Department, College of Health Science, University of Sharjah, Turkey) Uzun, Berna, Assistant Professor (Faculty of Engineering, Near East University

1 859 kr

Beställningsvara. Skickas inom 7-10 vardagar

Fri frakt för medlemmar vid köp för minst 249 kr.

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

Produktinformation

Utgivningsdatum2021-04-06
Mått152 x 229 x 19 mm
Vikt520 g
FormatHäftad
SpråkEngelska
Antal sidor332
FörlagElsevier Science
ISBN9780128240861

Tillhör följande kategorier

Artificiell intelligens inom Data och it

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. 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.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.

1. Introduction2. Theoretical aspects of multi-criteria decision-making (MCDM) methods3. Fuzzy PROMETHEE-based evaluation of brain cancer treatment techniques4. Evaluation of stage IV brain cancer Treatment Techniques5. Analysis of early stage breast cancer treatment techniques6. Fuzzy PROMETHEE–based evaluation of skin cancer treatment techniques7. Fuzzy PROMETHEE–based evaluation of prostate cancer treatment techniques8. Comparative evaluation of point-of-care glucometer devices in the management of diabetes mellitus9. Comparison of MRI devices in dentistry10. Application of fuzzy PROMETHEE on hearing aid11. A comparative study of X-ray based medical imaging devices12. Evaluation and simulation of dental instrument sterilization techniques with fuzzy PROMETHEE13. Application of fuzzy TOPSIS in the sterilization of medical devices14. Evaluation of the effectiveness of adult HIV antiretroviral treatment regimens using TOPSIS15. Evaluating the effectiveness of recommended HIV adult postexposure prophylaxis drug regimens by using fuzzy PROMETHEE16. The use of multicriteria decision-making method—fuzzy VIKOR in antiretroviral treatment decision in pediatric HIV-infected cases17. Evaluation of oral antiviral treatments for chronic Hepatitis B using fuzzy PROMETHEE18. Evaluation of migraine drugs using MCDM methods19. Top cancer treatment destinations: a comparative analysis using fuzzy PROMETHEE