Computational Intelligence for Data Analysis (Vol.2) is a new book from Bentham Science Publishers. This book is important for several reasons. Future healthcare professionals will need to understand how technology can enhance patient care, and this book provides an in-depth understanding of this important aspect.
The editors have compiled 15 topics that discuss the applications, opportunities, and future trends of machine intelligence in healthcare. By reading this book, readers will be able to understand the core principles, algorithms, protocols, emerging trends, security issues and latest concepts of his e-healthcare services. Additionally, the purpose of this book is to demonstrate how these technologies can be used to keep patients safe and healthy while enabling physicians to deliver superior care.
The main topics covered in this book include an introduction to the Internet of Things for Medical (IoMT) concept, cloud edge-based IoMT architecture and performance optimization in the context of medical big data, and various IoMT interference mitigation techniques. Includes a comprehensive survey of wireless body area networks (WBAN), artificial intelligence, the Internet of Medical Things, reviews of new machine learning and AI solutions in various medical fields, deep learning-based solutions that optimize obstacle recognition for visually impaired patients, The latest research brain-computer interfaces and their applications, deep learning for brain tumor detection, breakthroughs in blockchain and patient data management.
The editors believe that the information in this book will be of great value to researchers and professionals working in medicine and related fields. This is a complete package demonstrating her IoT, AI, and machine learning applications in healthcare delivery and medical devices.
This book is a timely update for readers in basic and advanced medicine, biomedical engineering, and computer science. This is an excellent resource for anyone wanting to learn about the latest in her IoT, AI, and machine learning developments for healthcare delivery and medical devices.
For more information about this book, please visit this page here.
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