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.
1. Computational Intelligence for Medical Internet of Things (MIoT) Applications - p. i 2. Cover - p. i 3. Title Page - p. iii 4. Copyright - p. iv 5. List of Contributors - p. xv 6. About the Editors - p. xix 7. Preface - p. xxi 8. Chapter 1 AI and IoT working for healthcare - p. 3 9. Chapter 2 AIoMT artificial intelligence (AI) and Internet of Medical Things (IoMT) - p. 33 10. Chapter 3 Artificial intelligence in healthcare - p. 55 11. Chapter 4 Exploring the effectiveness of cloud, Internet of Things and fog computing for healthcare monitoring systems - p. 77 12. Chapter 5 Patients using real-time remote health monitoring applications - p. 93 13. Chapter 6 A review on the application of the Internet of Things in monitoring autism and assisting parents and caregivers - p. 123 14. Chapter 7 Regression analysis of the most frequent medical diagnoses in a Mediterranean country - p. 143 15. Chapter 8 A conceptual framework for Artificial Intelligence of Medical Things (AIoMT) - p. 175 16. Chapter 9 Framework for integrating healthcare big data using IoMT technology - p. 191 17. Chapter 10 Application of computational intelligence in visual optimization tools to improve the performance of medical MIoT platforms - p. 211 18. Chapter 11 Edge intelligence case study on Medical Internet of Things security - p. 227 19. Chapter 12 Data-driven intelligent Medical Internet of Things (MIoT) based healthcare solutions for secured smart cities - p. 247 20. Chapter 13 A secure and efficient two-factor authentication protocol (SET-AP) for body sensor networks in IoT-enabled healthcare systems - p. 279 21. Chapter 14 Pervasive m-health for chronic diseases - p. 301 22. Chapter 15 Hybrid intelligence-based cryptosystem - p. 315 23. Index - p. 343
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.
1. Computational Intelligence for Medical Internet of Things (MIoT) Applications - p. i 2. Cover - p. i 3. Title Page - p. iii 4. Copyright - p. iv 5. List of Contributors - p. xv 6. About the Editors - p. xix 7. Preface - p. xxi 8. Chapter 1 AI and IoT working for healthcare - p. 3 9. Chapter 2 AIoMT artificial intelligence (AI) and Internet of Medical Things (IoMT) - p. 33 10. Chapter 3 Artificial intelligence in healthcare - p. 55 11. Chapter 4 Exploring the effectiveness of cloud, Internet of Things and fog computing for healthcare monitoring systems - p. 77 12. Chapter 5 Patients using real-time remote health monitoring applications - p. 93 13. Chapter 6 A review on the application of the Internet of Things in monitoring autism and assisting parents and caregivers - p. 123 14. Chapter 7 Regression analysis of the most frequent medical diagnoses in a Mediterranean country - p. 143 15. Chapter 8 A conceptual framework for Artificial Intelligence of Medical Things (AIoMT) - p. 175 16. Chapter 9 Framework for integrating healthcare big data using IoMT technology - p. 191 17. Chapter 10 Application of computational intelligence in visual optimization tools to improve the performance of medical MIoT platforms - p. 211 18. Chapter 11 Edge intelligence case study on Medical Internet of Things security - p. 227 19. Chapter 12 Data-driven intelligent Medical Internet of Things (MIoT) based healthcare solutions for secured smart cities - p. 247 20. Chapter 13 A secure and efficient two-factor authentication protocol (SET-AP) for body sensor networks in IoT-enabled healthcare systems - p. 279 21. Chapter 14 Pervasive m-health for chronic diseases - p. 301 22. Chapter 15 Hybrid intelligence-based cryptosystem - p. 315 23. Index - p. 343
