Computational Intelligence for Medical Internet of Things (MIoT) Applications: Machine Intelligence Applications for IoT in Healthcare explores machine intelligence 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. - 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

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Yes, you can access Computational Intelligence for Medical Internet of Things (MIoT) Applications by Yassine Maleh,Ahmed A. Abd El-Latif,Kevin Curran,Patrick Siarry in PDF and/or ePUB format, as well as other popular books in Technology & Engineering & Civil Engineering. We have over one million books available in our catalogue for you to explore.

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Technology & Engineering

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Civil Engineering

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Technology & Engineering

Computational Intelligence for Medical Internet of Things (MIoT) Applications
Cover
Title Page
Copyright
List of Contributors
About the Editors
Preface
Chapter 1 AI and IoT working for healthcare
Chapter 2 AIoMT artificial intelligence (AI) and Internet of Medical Things (IoMT)
Chapter 3 Artificial intelligence in healthcare
Chapter 4 Exploring the effectiveness of cloud, Internet of Things and fog computing for healthcare monitoring systems
Chapter 5 Patients using real-time remote health monitoring applications
Chapter 6 A review on the application of the Internet of Things in monitoring autism and assisting parents and caregivers
Chapter 7 Regression analysis of the most frequent medical diagnoses in a Mediterranean country
Chapter 8 A conceptual framework for Artificial Intelligence of Medical Things (AIoMT)
Chapter 9 Framework for integrating healthcare big data using IoMT technology
Chapter 10 Application of computational intelligence in visual optimization tools to improve the performance of medical MIoT platforms
Chapter 11 Edge intelligence case study on Medical Internet of Things security
Chapter 12 Data-driven intelligent Medical Internet of Things (MIoT) based healthcare solutions for secured smart cities
Chapter 13 A secure and efficient two-factor authentication protocol (SET-AP) for body sensor networks in IoT-enabled healthcare systems
Chapter 14 Pervasive m-health for chronic diseases
Chapter 15 Hybrid intelligence-based cryptosystem
Index

About this book

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Table of contents