Big Data Analytics For Human Centric Systems
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Human Centred Intelligent Systems
The volume includes papers presented at the International KES Conference on Human Centred Intelligent Systems 2023 (KES HCIS 2023), held in Rome, Italy on June 14–16, 2023. This book highlights new trends and challenges in intelligent systems, which play an important part in the digital transformation of many areas of science and practice. It includes papers offering a deeper understanding of the human-centred perspective on artificial intelligence, of intelligent value co-creation, ethics, value-oriented digital models, transparency, and intelligent digital architectures and engineering to support digital services and intelligent systems, the transformation of structures in digital businesses and intelligent systems based on human practices, as well as the study of interaction and the co-adaptation of humans and systems.
Big Data Analytics for Sensor-Network Collected Intelligence
Big Data Analytics for Sensor-Network Collected Intelligence explores state-of-the-art methods for using advanced ICT technologies to perform intelligent analysis on sensor collected data. The book shows how to develop systems that automatically detect natural and human-made events, how to examine people's behaviors, and how to unobtrusively provide better services. It begins by exploring big data architecture and platforms, covering the cloud computing infrastructure and how data is stored and visualized. The book then explores how big data is processed and managed, the key security and privacy issues involved, and the approaches used to ensure data quality. In addition, readers will find a thorough examination of big data analytics, analyzing statistical methods for data analytics and data mining, along with a detailed look at big data intelligence, ubiquitous and mobile computing, and designing intelligence system based on context and situation. Indexing: The books of this series are submitted to EI-Compendex and SCOPUS - Contains contributions from noted scholars in computer science and electrical engineering from around the globe - Provides a broad overview of recent developments in sensor collected intelligence - Edited by a team comprised of leading thinkers in big data analytics
Embracing Complexity in Health
This detailed volume illustrates the transformative nature of systems and complexity sciences for practice, research, education, and health system organization. Researchers highlight the fresh perspectives and novel approaches offered by these interdisciplinary fields in addressing the complexities of global, national, and community health challenges in the 21st century. With the implications that these emerging fields hold for health still relatively underexplored, researchers from a wide variety of disciplines, including physiological, social, environmental, clinical, prevention, educational, organizational, finance, and policy domains, aim in this book to suggest future directions in health care and highlight recent advances in basic and clinical physiology, education, policy-making, and leadership. Among the topics discussed: Impact of genomic heterogeneity on bio-emergent properties Harnessing Big Data to improve healthservices Decision-making of women in violent relationships Co-producing healthcare interventions A socio-ecological solution to physician burnout Embracing Complexity in Health: The Transformation of Science, Practice, and Policy is a highly relevant resource to practitioners in the field, students, instructors, and policy makers, and also should find an engaged audience among health and disease researchers, healthcare planners, health system financiers, health system administrators, health services administrators, health professional educators, and other health professionals. The trans- and interdisciplinary natures of health and health care are fostering a broad discourse amongst all concerned with improving patient care in an equitable and sustainable way.