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.
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.
ISBN: | 9781032586106 |
Publication date: | 18th June 2024 |
Author: | Lavanya Sharma, Pradeep K Garg |
Publisher: | Chapman & Hall/CRC an imprint of CRC Press |
Format: | Hardback |
Pagination: | 288 pages |
Genres: |
Internet guides and online services Neural networks and fuzzy systems Automatic control engineering Digital and information technologies: Health and safety aspects Digital and information technologies: social and ethical aspects Digital and information technologies: Legal aspects Real time operating systems Software Engineering Environmental science, engineering and technology |