Artificial Intelligence and Big Data Analytics for Smart Healthcare serves as a key reference for practitioners and experts involved in healthcare as they strive to enhance the value added of healthcare and develop more sustainable healthcare systems. It brings together insights from emerging sophisticated information and communication technologies such as big data analytics, artificial intelligence, machine learning, data science, medical intelligence, and, by dwelling on their current and prospective applications, highlights managerial and policymaking challenges they may generate. The book is split into five sections: big data infrastructure, framework and design for smart healthcare; signal processing techniques for smart healthcare applications; business analytics (descriptive, diagnostic, predictive and prescriptive) for smart healthcare; emerging tools and techniques for smart healthcare; and challenges (security, privacy, and policy) in big data for smart healthcare. The content is carefully developed to be understandable to different members of healthcare chain to leverage collaborations with researchers and industry.

As a new model of growth and development comes into force, higher education institutions (HEI) worldwide have to adapt and respond to a constantly changing environment. Politics, economics, advances in technology and the resultant societal change create a number of opportunities and challenges that HEI' administrators have to address on a daily basis. This volume offers practice-driven accounts of how HEI successfully embrace these challenges and opportunities. The experts and practitioners contributing to this volume reveal a complex reality of HEI today. The book links the debate on education to topical issues in politics, society and economy, including questions of technological progress, social responsibility, sustainability, well-being and, broadly understood, resilience. The authors emphasise the importance of the role of the university in supporting new models of growth by ensuring that the institutions strive towards inclusive education for all. Topics examined in this timely book include university social responsibility, emerging technologies in Higher Education and digital games-based learning and organizational innovation, in a range of international contexts. Given its practice-drive approach, this book will be invaluable for researchers, administrators and leaders in higher education management.

Innovation in Health Informatics: A Smart Healthcare Primer explains how the most recent advances in information and communication technologies have paved the way for new breakthroughs in healthcare. The book showcases current and prospective applications in a context defined by an imperative to deliver efficient, patient-centered and sustainable healthcare systems. Topics discussed include big data, medical data analytics, artificial intelligence, machine learning, virtual and augmented reality, 5g and sensors, Internet of Things, nanotechnologies and biotechnologies. Additionally, there is a discussion on social issues and policy- making for the implementation of smart healthcare. This book is a valuable resource for undergraduate and graduate students, practitioners, researchers, clinicians and data scientists who are interested in how to explore the intersections between bioinformatics and health informatics.