Berna Uzun – författare

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

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

Advances in Medical Imaging: From Behavioral Analysis to Disease Prevention and Rehabilitation presents a comprehensive exploration of the rapidly evolving field of medical imaging at the crossroads of clinical science, behavioral research, and public health. This book addresses the growing need to understand how advanced imaging technologies-such as MRI, PET, and ultrasound-are transforming healthcare beyond traditional diagnosis. By capturing structural, functional, metabolic, and molecular processes, these innovations provide new insights into brain function, lifestyle impacts, chronic disease, and rehabilitation, supporting the shift toward personalized and preventive medicine.The book is organized into five thematic sections covering a wide range of topics. Early chapters focus on the integration of neuroimaging with behavioral science, highlighting brain-behavior relationships through cutting-edge imaging modalities and cognitive software. Subsequent sections examine the effects of sedentary lifestyles on brain health, vascular function assessed by ultrasound, and musculoskeletal aging through imaging biomarkers. Additional chapters explore chronic disease management, yoga and cognitive well-being, stroke recovery, traumatic brain injury rehabilitation, and the expanding role of imaging in oncology and systemic diseases. Throughout, the book emphasizes the use of artificial intelligence, radiomics, and multimodal imaging to enhance precision medicine and population health research.Advances in Medical Imaging: From Behavioral Analysis to Disease Prevention and Rehabilitation offers valuable insights for researchers, clinicians, and healthcare professionals interested in the applications of medical imaging across multiple disciplines. It highlights imaging’s critical role in advancing personalized care, supporting preventive strategies, and fostering innovation in modern healthcare.Highlights the latest advancements in medical imaging technology and techniquesProvides a comprehensive exploration of medical imaging and its applications in various fields of medicineTakes an interdisciplinary approach by bridging the gap between medical imaging and other relevant fields, such as computer science, artificial intelligence, and biomedical researchRecognizes the importance of collaboration and highlights the potential for integrating different disciplines to enhance the understanding and application of medical imaging in healthcare

Medical Imaging and Behavioral Science provides comprehensive coverage of the fundamental principles of medical imaging and behavioral science. This book presents the latest research, techniques, and technological advancements in medical imaging and behavioral science for researchers and professionals working in the fields of image processing, computer science, and healthcare enabling them to solve problems at different stages of the research workflow. The book examines machine learning and deep-learning based approaches to medical image analysis. Chapters investigate the design and application of software and diagnostic tools across all aspects of medical imaging and behavioral sciences, including autism spectrum disorders, memory and learning, stress, eating disorders, among others. Researchers and professionals working in the fields of medical image processing, computer science, radiology, psychology, and neuroscience will benefit from the unique multidisciplinary perspective.Brings together experts from medical imaging, computer science, radiology, psychology, and neuroscience, offering a unique multidisciplinary perspective that appeals to a wide range of readersExplores the latest research and techniques, enabling medical imaging researchers and healthcare professionals to develop better techniques from a multidisciplinary perspective which can enhance patient care and improve outcomesProvides valuable insights and practical guidance in utilizing machine learning and deep-learning based approaches to medical image analysis

The purpose of this book is to provide a resource for students and researchers that includes current application of a multi-criteria, decision-making theory in various fields such as: environment, healthcare and engineering.

The use of a multi-criteria, decision-making theory was first studied in the 1970s. Its application in civil and environmental engineering is a new approach which can be enormously helpful for manufacturing companies, students, managers, engineers, etc. The purpose of this book is to provide a resource for students and researchers that includes current application of a multi-criteria, decision-making theory in various fields such as: environment, healthcare and engineering. In addition, practical application are shown for students manually. In real life problems there are many critical parameters (criteria) that can directly or indirectly affect the consequences of different decisions. Application of a multi-criteria, decision-making theory is basically the use of computational methods that incorporate several criteria and order of preference in evaluating and selecting the best option among many alternatives based on the desired outcome.

The purpose of this book is to provide a resource for students and researchers that includes current application of a multi-criteria, decision-making theory in various fields such as: environment, healthcare and engineering.

This book provides students and researchers with a resource that includes the current application of the multi-criteria decision theory in a variety of fields, including the environment, health care, engineering, and architecture.