Deep Learning in Internet of Things for Next Generation Healthcare, 1st Edition

The book ‘Deep Learning in Internet of Things for Next Generation Healthcare’ looks into the newest trends in the systems and equipment in the sphere of healthcare with a focus on deep learning, which suggests efficient concepts of how IoT might be used for overcoming human factors and various obstacles with the help of deep learning. It encompasses important fields such as medical imaging, new drug development, insurance fraud solutions, and ways of dealing with the same. Specifically, the book is dedicated to deep learning methods and approaches that can be applied in real-time healthcare, current problems, and the possibility of developing deep learning in future healthcare.

In this context, you will identify clear strategies regarding the application of IoT with components of deep learning when addressing human factors. The book's new contributions outline new solutions for medical imaging diagnosis, such as skin lesions, cancer detection, MRI image enhancement, automated disease prediction and frauds. ”Deep Learning in Internet of Things for Next Generation Healthcare” also covers the advanced studies regarding IoT and deep learning and their integration into healthcare readings deep learning and IoT together.

This book, “Deep Learning in Internet of Things for Next Generation Healthcare,” describes some of the difficult problems concerning the collection of sensor data, identification of moving objects, and tracking and provides solutions to these problems.

Deep Learning in Internet of Things for Next Generation Healthcare Table of Contents:

1. Chapter 1: Rise of Communication Devices in IoT
2. Chapter 2: Architecture Framework for Deep Learning Systems and IoT: An Overview
3. Chapter 3: Deep Learning and Human Vision in IoT
4. Chapter 4: Impact of IoT on Big Data Analytics and Applications in Medical Images
5. Chapter 5: Geospatial Data Collection Tools in Healthcare
6. Chapter 6: Geospatial Technology in Healthcare
7. Chapter 7: Advancement of Geospatial Technology in Healthcare Systems
8. Chapter 8: Implementation of Deep Learning in Assessment of Health-Hazardous Air Pollutants
9. Chapter 9: Technological Interventions in Healthcare
10. Chapter 10: Disaster and Emergency Healthcare
11. Chapter 11: Deep Learning and IoT in Healthcare
12. Chapter 12: Improved Patient Care Using Robotics in the Healthcare Industry: Benefits, Real-Time Applications, and Challenges
13. Chapter 13: Deep Learning Processes in MRI Images
14. Chapter 14: Artificial Intelligence and Robotics in Healthcare: Transforming the Indian Landscape
15. Chapter 15: Medical Insurance Fraud Detection
16. Chapter 16: Privacy and Security Issues for IoT and Deep Learning in Next-Generation Healthcare: An Indian Perspective
17. Chapter 17: A Systematic Review on the Future of Internet of Things Applications in Healthcare
18. Chapter 18: The Extraordinary Importance of 6G Network Development and 3D Holography in Future Healthcare
19. Chapter 19: Tracking of Disease—A Review of the State of the Art of Technology for Next-Generation Healthcare
20. Chapter 20: Disease Detection Using TensorFlow Methodology
21. Chapter 21: AI and Deep Learning: Applications in Healthcare

Who is this course for?

1. Graduate students or Master’s degree students, especially in the field of computer science
2. IoT, Deep learning, and machine learning are the most common research areas among the faculties.
3. Apparently, professionals in image processing and big data
4. Specialists in cloud computing and other concepts related to the delivery of information across long distances
5. Venture capitalists, software and medical device manufacturers

Click on the links below to Download Deep Learning in Internet of Things for Next Generation Healthcare!