AI, Numerical optimization, IoT and Blockchain for Healthcare 4.0

Technology is increasingly used in the healthcare sphere, from obtaining data using sensors and IoT devices, to interpreting the data with machine learning and numerical optimization systems, on to storing the data in the form of electronic healthcare records and telemedicine approaches enabling clinicians and patients to access the data remotely. All of these technological advances fall under the umbrella term of Healthcare 4.0. This book explores the ideas and practices around utilizing IoT integration within the healthcare ecosystem to improve patient diagnosis, monitoring, and treatment, using ML and optimization to develop proactive healthcare systems. A theoretical foundation and experimental case studies relevant to real-world situations are provided. Data modelling, information discovery, prediction, smart healthcare, transparency in governance, and auditing are explored in this book. A team of global experts converge to discuss and share their opinions on this topic, technical evaluate existing solutions and provide real-world, practical case studies. This book will be of interest to researchers in the field of computer science, computer engineering, healthcare technology, computer vision, pattern recognition, machine learning, IOT, AI, signal processing, blockchain and big data and those in related disciplines.