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

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Description

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. Review Provides a resource that includes current application of multi-criteria decision-making theory in various fields, including medicine, healthcare and biomedical devices From the Back Cover Applications of Multi-Criteria Decision-Making Theories in Healthcare and Biomedical Engineering contains several practical applications of how decision-making theory could be used in solving problems related to selection of the best alternatives. The book also focus 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 decision. 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 of the decisions. In this book the application of MCDM has been provided for the real-life problems occurred in health and biomedical engineering issues. In addition, application of MCDM examples will be shown manually to users. About the Author 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. 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 B

Product Specifications

Format
Paperback
Domain
Amazon UK
Release Date
01 April 2021
Listed Since
10 September 2020

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