This book describes the emerging nanobiosensor technologies which are geared towards onsite clinical applications and those which can be used as a personalised diagnostic device.

This book provides a snapshot of the state of current research at the interface between machine learning and healthcare with special emphasis on machine learning projects that are (or are close to) achieving improvement in patient outcomes.

Presenting a detailed framework as well as comparative case studies for security protection, data integrity, privacy preservation, scalability, and healthcare legislation, this book covers state of the art research and addresses privacy and security methods and technologies for EHRs.

This book presents an innovative, unique and holistic approach to modeling and simulation approaches in healthcare management. From system architecture to modeling methodology, this book shows how to improve patient health and costs of care via the design and implementation of an efficient infrastructure.