Focusing on the challenges, directions, and future predictions with the role of 5G in smart healthcare monitoring, this book offers the fundamental concepts and analyses on the methods to apply Internet of Things (IoT) in monitoring devices for diagnosing and transferring data. It also discusses self-managing to help providers improve their patients' healthcare experience.
Smart Healthcare Monitoring Using IoT with 5G: Challenges, Directions, and Future Predictions illustrates user-focused wearable devices such as Fitbit health monitors and smartwatches by which consumers can self-manage and self-monitor their own health. The book covers new points of security and privacy concerns, with the expectation of IoT devices gaining more popularity within the next ten years. Case studies depicting applications and best practices as well as future predictions of smart healthcare monitoring by way of a 5G network are also included.
Interested readers of this book include anyone working or involved in research in the field of smart healthcare, such as healthcare specialists, computer science engineers, electronics engineers, and pharmaceutical practitioners.
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.