Big data generates around us constantly from daily business, custom use, engineering, and science activities. Sensory data is collected from the internet of things (IoT) and cyber-physical systems (CPS). Merely storing such a massive amount of data is meaningless, as the key point is to identify, locate, and extract valuable knowledge from big data to forecast and support services. Such extracted valuable knowledge is usually referred to as smart data. It is vital to providing suitable decisions in business, science, and engineering applications. Deep Learning Applications for Cyber-Physical Systems provides researchers a platform to present state-of-the-art innovations, research, and designs while implementing methodological and algorithmic solutions to data processing problems and designing and analyzing evolving trends in health informatics and computer-aided diagnosis in deep learning techniques in context with cyber physical systems. Covering topics such as smart medical systems, intrusion detection systems, and predictive analytics, this text is essential for computer scientists, engineers, practitioners, researchers, students, and academicians, especially those interested in the areas of internet of things, machine learning, deep learning, and cyber-physical systems.

The potential for health professionals to learn and practice the process of entrepreneurship to improve the quality of health care and services is enormous and untapped. Health professionals witness first-hand where changes to the health system should be made and where opportunities for improvement arise, yet they are seldom associated with entrepreneurship. Incorporating the authors' experiences leading health systems, working on the front line and supporting corporations, NGOs and accelerators that target health entrepreneurship, this book explores: The why, what and how of entrepreneurship - and intrapreneurship - for health professionals. Resources to encourage innovation by guiding the reader through an idea development process specific to the experience and working environment of health professionals. The areas of need, developing ideas and prototype solutions, as well as implementing, scaling and pitching entrepreneurial ideas. An accessible and applied guide, Health Entrepreneurship introduces ideas about the practical delivery and implementation of entrepreneurial ideas, allowing readers to affect necessary and positive change.

Sustainability is not unique to health, yet sustainability is a unique vehicle for promoting healthy values. This book challenges healthcare leaders to think through the implications of our decisions from fiscal, societal and environmental perspectives. It links health values with sustainability drivers in order to enlighten leadership about the value of sustainability as we move toward a new paradigm of health. Fully updated for the second edition, the book now includes case studies about: Waste disposal and cost Chemicals of concern Cost of water Green building ratings This book is a unique resource for researchers, students and professionals working in health and healthcare management because the book connects key concepts of environmental sustainability with healthcare operations. Readers will gain an appreciation for translating leadership priorities into sustainability tactics with beneficial operational outcomes.

The potential for health professionals to learn and practice the process of entrepreneurship to improve the quality of health care and services is enormous and untapped. Health professionals witness first-hand where changes to the health system should be made and where opportunities for improvement arise, yet they are seldom associated with entrepreneurship. Incorporating the authors' experiences leading health systems, working on the front line and supporting corporations, NGOs and accelerators that target health entrepreneurship, this book explores: The why, what and how of entrepreneurship - and intrapreneurship - for health professionals. Resources to encourage innovation by guiding the reader through an idea development process specific to the experience and working environment of health professionals. The areas of need, developing ideas and prototype solutions, as well as implementing, scaling and pitching entrepreneurial ideas. An accessible and applied guide, Health Entrepreneurship introduces ideas about the practical delivery and implementation of entrepreneurial ideas, allowing readers to affect necessary and positive change.

Sustainability is not unique to health, yet sustainability is a unique vehicle for promoting healthy values. This book challenges healthcare leaders to think through the implications of our decisions from fiscal, societal and environmental perspectives. It links health values with sustainability drivers in order to enlighten leadership about the value of sustainability as we move toward a new paradigm of health. Fully updated for the second edition, the book now includes case studies about: Waste disposal and cost Chemicals of concern Cost of water Green building ratings This book is a unique resource for researchers, students and professionals working in health and healthcare management because the book connects key concepts of environmental sustainability with healthcare operations. Readers will gain an appreciation for translating leadership priorities into sustainability tactics with beneficial operational outcomes.

Big data generates around us constantly from daily business, custom use, engineering, and science activities. Sensory data is collected from the internet of things (IoT) and cyber-physical systems (CPS). Merely storing such a massive amount of data is meaningless, as the key point is to identify, locate, and extract valuable knowledge from big data to forecast and support services. Such extracted valuable knowledge is usually referred to as smart data. It is vital to providing suitable decisions in business, science, and engineering applications. Deep Learning Applications for Cyber-Physical Systems provides researchers a platform to present state-of-the-art innovations, research, and designs while implementing methodological and algorithmic solutions to data processing problems and designing and analyzing evolving trends in health informatics and computer-aided diagnosis in deep learning techniques in context with cyber physical systems. Covering topics such as smart medical systems, intrusion detection systems, and predictive analytics, this text is essential for computer scientists, engineers, practitioners, researchers, students, and academicians, especially those interested in the areas of internet of things, machine learning, deep learning, and cyber-physical systems.

It is becoming increasingly important to examine the relationship between the outcomes of a clinical trial and the costs of the medical therapy under study. The results of such analysis can affect reimbursement decisions for new medical technologies, drugs, devices or diagnostics. It can aid companies seeking to make claims about the cost-effectiveness of their product, as well as allowing early consideration of the economic value of therapies which may be important to improving initial adoption decisions. It is also vital for addressing the requirements of regulatory bodies. Economic Evaluation in Clinical Trials provides practical advice on how to conduct cost-effectiveness analyses in controlled trials of medical therapies. This new edition has been extensively rewritten and revised; topics discussed range from design issues such as the types of services that should be measured and price weights, to assessment of quality-adjusted life years. Illustrative materials, case histories and worked examples are included to encourage the reader to apply the methods discussed. These exercises are supported with datasets, programmes and solutions made available online.