Overview

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.

Full Product Details

9780128240861

Table of Contents

Reviews

Author Information

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.

Tab Content 6

Customer Reviews

Recent Reviews

Countries Available