Konstantinos V. Katsikopoulos

This book brings together everything you need to know about data science within healthcare systems, with a primary focus on showing how to advance automated and non-automated analytical methods for extracting valuable insights from healthcare data. It draws upon a range of interconnected disciplines, including machine learning, big data analytics, statistics, pattern recognition, computer vision, and Semantic Web Technologies. The book emphasizes the practical application of these disciplines in the healthcare domain inclusive of quality assurance, governance and regulatory overview. It includes instructional chapters on data science in healthcare as a foundation, then progresses to showcase real world, successful examples of data science and AI applications in healthcare, highlighting their range of usefulness and potential. Intended primarily for healthcare professionals, including clinical academics, academics and trainees working in the healthcare or medical sectors, this book offers crucial insights into cutting-edge data science technologies, essential for driving innovation in both healthcare businesses and patient care.

This book brings together everything you need to know about data science within healthcare systems, with a primary focus on showing how to advance automated and non-automated analytical methods for extracting valuable insights from healthcare data. It draws upon a range of interconnected disciplines, including machine learning, big data analytics, statistics, pattern recognition, computer vision, and Semantic Web Technologies. The book emphasizes the practical application of these disciplines in the healthcare domain inclusive of quality assurance, governance and regulatory overview. It includes instructional chapters on data science in healthcare as a foundation, then progresses to showcase real world, successful examples of data science and AI applications in healthcare, highlighting their range of usefulness and potential. Intended primarily for healthcare professionals, including clinical academics, academics and trainees working in the healthcare or medical sectors, this book offers crucial insights into cutting-edge data science technologies, essential for driving innovation in both healthcare businesses and patient care.

This book examines how people make decisions under risk and uncertainty in operational settings and opens the black box by specifying the cognitive processes that lead to human behavior. Drawing on economics, psychology and artificial intelligence, the book provides an innovative perspective on behavioral operations. It shows how to build optimization as well as heuristic models for describing human behavior and how to compare such models on various dimensions such as predictive power and transparency, as well as discussing interventions for improving human behavior. This book will be particularly valuable to academics and practitioners who seek to select a modeling approach that suits the operational decision at hand.

This book examines how people make decisions under risk and uncertainty in operational settings and opens the black box by specifying the cognitive processes that lead to human behavior. Drawing on economics, psychology and artificial intelligence, the book provides an innovative perspective on behavioral operations. It shows how to build optimization as well as heuristic models for describing human behavior and how to compare such models on various dimensions such as predictive power and transparency, as well as discussing interventions for improving human behavior. This book will be particularly valuable to academics and practitioners who seek to select a modeling approach that suits the operational decision at hand.