Deep Learning in Internet of Things for Next Generation Healthcare

Lavanya Sharma, Pradeep Kumar Garg

• Verlag: Chapman and Hall/CRC
• Jahr: 2024
• ISBN:
  9781040030851
• Auflage: 1
• Thema: Computer Science
• Thema: Information Technology

This book presents the latest developments in deep learning-enabled healthcare tools and technologies and offers practical ideas for using the IoT with deep learning (motion-based object data) to deal with human dynamics and challenges including critical application domains, technologies, medical imaging, drug discovery, insurance fraud detection and solutions to handle relevant challenges. This book covers real-time healthcare applications, novel solutions, current open challenges, and the future of deep learning for next-generation healthcare. It includes detailed analysis of the utilization of the IoT with deep learning and its underlying technologies in critical application areas of emergency departments such as drug discovery, medical imaging, fraud detection, Alzheimer's disease, and genomes.

• Presents practical approaches of using the IoT with deep learning vision and how it deals with human dynamics
• Offers novel solution for medical imaging including skin lesion detection, cancer detection, enhancement techniques for MRI images, automated disease prediction, fraud detection, genomes, and many more
• Includes the latest technological advances in the IoT and deep learning with their implementations in healthcare
• Combines deep learning and analysis in the unified framework to understand both IoT and deep learning applications
• Covers the challenging issues related to data collection by sensors, detection and tracking of moving objects and solutions to handle relevant challenges

Postgraduate students and researchers in the departments of computer science, working in the areas of the IoT, deep learning, machine learning, image processing, big data, cloud computing, and remote sensing will find this book useful.

Inhaltsverzeichnis

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