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This book offers a timely review of modern technologies for health, with a special emphasis on wireless and wearable technologies, GIS tools and machine learning methods for managing the impacts of pandemics. It describes new strategies for forecasting evolution of pandemics, optimizing contract tracing, and for detection and diagnosis of diseases, among others. Written by researchers and professionals with different backgrounds, this book offers a extensive information and a source of inspiration for physiologists, engineers, IT scientists and policy makers in the health and technology sector.
This book provides a practical guide to federated deep learning for healthcare including fundamental concepts, framework, and the applications comprising domain adaptation, model distillation, and transfer learning. It covers concerns in model fairness, data bias, regulatory compliance, and ethical dilemmas. It investigates several privacy-preserving methods such as homomorphic encryption, secure multi-party computation, and differential privacy. It will enable readers to build and implement federated learning systems that safeguard private medical information. Features: Offers a thorough introduction of federated deep learning methods designed exclusively for medical applications. Investigates privacy-preserving methods with emphasis on data security and privacy. Discusses healthcare scaling and resource efficiency considerations. Examines methods for sharing information among various healthcare organizations while retaining model performance. This book is aimed at graduate students and researchers in federated learning, data science, AI/machine learning, and healthcare.
Covering a broad range of topics with side-by-side radiographic images, Multimodal Imaging Atlas of Cardiac Masses provides basic-to-advanced clinical tips on the use, clinical applications, and interpretation of cardiac imaging for cardiac masses. Written by a team of international experts in cardiac imaging, cardiac pathology, and cardiac surgery, this title features separate chapters on imaging modalities, anatomic pitfalls, cardiac thrombus, benign tumors, infectious lesions, and malignant tumors. This practical title is an essential guide for cardiologists, interventional cardiologists, cardiac surgeons, radiologists, and others to recognize the typical features of these uncommon condit...
Across the globe, evaluating the initiatives and planning strategies of the modern workforce has become increasingly imperative. By developing professional competencies, various sectors can achieve better quality skill development. Workforce Development Theory and Practice in the Mental Health Sector is an essential reference source on the understanding of workforce capacity and capability and examines specific benefits and applications in addiction and mental health services. Featuring extensive coverage on a range of topics including public service provision, staff motivation, and clinical competency, this book is ideally designed for policy makers, academicians, researchers, and students seeking current research on the challenges facing countries in the areas of planning and development in the workforce.
This book investigates how we as citizens of Society 5.0 borrow the disruptive technologies like Blockchain, IoT, cloud and software-defined networking from Industry 4.0, with its automation and digitization of manufacturing verticals, to change the way we think and act in cyberspace incorporated within everyday life. The technologies are explored in Non-IT sectors, their implementation challenges put on the table, and new directions of thought flagged off. Disruptive Technologies for Society 5.0: Exploration of New Ideas, Techniques, and Tools is a pathbreaking book on current research, with case studies to comprehend their importance, in technologies that disrupt the de facto. This book is intended for researchers and academicians and will enable them to explore new ideas, techniques, and tools.
The effective delivery of healthcare services is vital to the general welfare and well-being of a country’s citizens. Financial infrastructure and policy reform can play a significant role in optimizing existing healthcare programs. Health Economics and Healthcare Reform: Breakthroughs in Research and Practice is a comprehensive source of academic material on the importance of economic structures and policy reform initiatives in modern healthcare systems. Highlighting a range of pertinent topics such as clinical costing, patient engagement, and e-health, this book is ideally designed for medical practitioners, researchers, professionals, and students interested in the optimization of healthcare delivery.
This Edited Volume contains a selection of refereed and revised papers originally presented at the second International Symposium on Signal Processing and Intelligent Recognition Systems (SIRS-2015), December 16-19, 2015, Trivandrum, India. The program committee received 175 submissions. Each paper was peer reviewed by at least three or more independent referees of the program committee and the 59 papers were finally selected. The papers offer stimulating insights into biometrics, digital watermarking, recognition systems, image and video processing, signal and speech processing, pattern recognition, machine learning and knowledge-based systems. The book is directed to the researchers and scientists engaged in various field of signal processing and related areas.