The Editors of Elsevier's Book "Computational Intelligence for Medical Internet of Things (MIoT) Application Systems" invites submissions containing Original, High-Quality Ideas that are relevant to the SCOPE OF THE BOOK. The full chapter may kindly be sent in Latex or Word format. The book will MAINLY focus on significant issues in the field of Computational Intelligence for Medical Internet of Things (MIoT) Application Systems. The book is mainly intended for post-graduate students, research scholars, academics, industry, and research lab scientists.

The purpose of this book is to determine the new advancements and applications of deep learning models and intelligent systems for MIoT applications. We are inviting original research work covering novel theories, innovative methods, and meaningful applications that can potentially lead to significant advances in computational intelligence for Medical Internet of Things (MIoT) applications.

Computational Intelligence for Medical Internet of Things (MIoT) applications explore the machine intelligence techniques necessary for effective MIoT research and practice, taking a practical approach for practitioners and students entering the field. This book lays a good foundation for MIoT and applications' core concepts and applications, walking the reader through the fundamental ideas with expert ease. The book progresses on the topics in a step-by-step manner. It reinforces theory with a full-fledged pedagogy designed to enhance the researchers' understanding and offer them a practical insight into its applications.

Topics of Interest:

This book targets a mixed audience of researchers, academics and investigators from different communities to share and exchange new ideas, approaches, theories and practices to resolve the challenging issues associated with the leveraging of Computational Intelligence for Medical Internet of Things (MIoT) Application Systems. Therefore, the suggested topics of interest for this book include, but are not limited to:

• Healthcare informatics

• Machine intelligence techniques for Medical Internet of Things (MIoT)

• Recognition and optimization methods for MIoT

• Soft computing approaches for MIoT

• Medical imaging and pattern recognition for MIoT

• Biomedical imaging and image processing for MIoT

• Pattern mining algorithms for biological problems

• Artificial intelligence and pattern recognition technologies for MIoT

• Deep learning and machine learning algorithms for efficient indexing and retrieval in medical imaging

• Computational intelligence for data analysis and pattern recognition

• Internet of medical things platform for e-health applications