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.
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SECTION 1 Computational Intelligence for Medical Internet of Things (MIoT): Current states and Challenges
1. AI and IoT working for healthcare: general aspects and application examples
2. AIoMT Artificial Intelligence (AI) and Internet of Medical Things (IoMT): Applications, Challenges, and Future Trends
3. Artificial Intelligence in Healthcare: Current Situation and Future Possibilities
4. Exploring the effectiveness of cloud, Internet of Things and fog computing for healthcare monitoring systems
5. Patients Using Real-Time remote Health Monitoring Applications: A review
SECTION 2 Computational Intelligence for Medical Internet of Things (MIoT): Applications
6. A Review on The Application of The Internet of Things in Monitoring Autism and Assisting Parents and Caregivers
7. Regression Analysis of the Most Frequent Medical Diagnosis in a Mediterranean Country
8. A conceptual framework for Artificial Intelligence of Medical Things (AIoMT)
9. Framework for integrating healthcare Big Data using IoMT technology
10. Application of computational intelligence in visual optimization tools to improve the performance of medical MIoT platforms
SECTION 3 Computational Intelligence for Medical Internet of Things (MIoT): Security and Privacy
11. Edge Intelligence Case Study on Medical Internet of Things Security
12. Data-driven Intelligent Medical Internet of Things (MIoT) Based Healthcare Solutions for Secured Smart Cities
13. A Secure and Efficient Two-factor Authentication Protocol for Body Sensor Networks
14. Pervasive M-health for Chronic Diseases
15. Hybrid Intelligence Based Cryptosystem: Security and Privacy Enhancement in Telemedicine System
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Explores machine intelligence techniques necessary for effective MIoT research and practice, employing a practical approach for both practitioners and new students
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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Produktdetaljer
ISBN
9780323994217
Publisert
2023-01-26
Utgiver
Vendor
Academic Press Inc
Vekt
760 gr
Høyde
235 mm
Bredde
191 mm
Aldersnivå
P, 06
Språk
Product language
Engelsk
Format
Product format
Heftet
Antall sider
372