Computational Intelligence for Medical Internet of Things (MIoT) Applications explores the machine intelligences techniques necessary for effective MIoT research and practice, taking a practical approach for practitioners and students entering the field. This book investigates advanced concepts and applications in the MIoT field, guiding readers through emerging developments and future trends. A wide range of international authors guide readers through advanced concepts including deep learning, neural network, and big data analytic approaches for the classification, indexing, retrieval, analysis, and inferencing of healthcare data. A new volume in the Advances in ubiquitous sensing applications for healthcare series, it features new models, practical solutions, and technological advances in MI and encourages the use of data science technology for MIoT to assist professionals and researchers in designing a new decision support system paradigm and considers the new possibilities associated with machine intelligence technologies. Presents the state-of-the-art in machine intelligence and related technologies and methodologies for IoT in healthcare Discusses emerging developments and trends in machine intelligence for business and decision-making strategy in healthcare Features new models, practical solutions, prototypes, frameworks and technological advances related to machine intelligence for MIoT applications