Main description:

Includes innovative and new approaches for IoT in medical healthcare monitoring with 5G along with future directions
Discusses the fundamental concepts and analysis of IoT and 5G in smart healthcare
Focuses on methods used to apply IoT in monitoring devices for diagnosing diseases and transferring data using a 5G network.
Presents new points of security and privacy concerns with expectations of IoT devices in 2030 where 91 billion devices will exist with over 10 connected devices per person
Provides case studies depicting applications, best practices, as well as future predictions of IoT in everyday life
Illustrates user focused wearable devices such as Fitbit health monitors and smartwatches where consumers are self-managing and self-monitoring their own health and providers are able to improve the experience of care

Contents:

1. The Internet of Things in Healthcare Management: Potential Applications and Challenges. 2. Blending of Internet of Things and Deep Transfer Learning (DTL): Enabling Innovations in Healthcare (COVID-19) and Applications. 3. Potential Applications and Challenges of Internet of Things in Healthcare. 4. IoT and Smart Health Management. 5. Current Status of Alzheimer's Disease in India: Prevalence, Stigma, and Myths. 6. Phytochemicals' Potential to Reverse the Process of Neurodegeneration. 7. Existing Methods and Emerging Trends for Novel Coronavirus (COVID-19) Detection Using Residual Network (ResNet): A Review on Deep Learning Analysis. 8. Clinical Impact of COVID on Diabetic Patients. 9. Smart Hospitals Using Artificial Intelligence and Internet of Things for COVID-19 Pandemic. 10. Researcher Issues and Future Directions in Healthcare Using IoT and Machine Learning. 11. Diseases Prediction and Diagnosis System for Healthcare Using IoT and Machine Learning. 12. Challenges and Solution of COVID-19 Pandemic Based on AI and Big Data. 13. A Review of Artificial Intelligence Applications for COVID-19 Contact Tracing.