Deep Leaing in Inteet of Things for Next Generation Healthcare

Deep Leaing in Inteet of Things for Next Generation Healthcare

by: Lavanya Sharma (Editor),Pradeep Kumar Garg(Editor)
Edition:1st

Publication Date: 18 Jun. 2024

Language: English

Print Length: 310 pages

ISBN-10: 1032586109

ISBN-13: 9781032586106

Book Description

This book presents the latest developments in deep leaing-enabled healthcare tools and technologies and offers practical ideas for using the IoT with deep leaing (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 leaing for next-generation healthcare. It includes detailed analysis of the utilization of the IoT with deep leaing 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 leaing vision and how it deals with human dynamicsOffers novel solution for medical imaging including skin lesion detection, cancer detection, enhancement techniques for MRI images, automated disease prediction, fraud detection, genomes, and many moreIncludes the latest technological advances in the IoT and deep leaing with their implementations in healthcareCombines deep leaing and analysis in the unified framework to understand both IoT and deep leaing applicationsCovers the challenging issues related to data collection by sensors, detection and tracking of moving objects and solutions to handle relevant challengesPostgraduate students and researchers in the departments of computer science, working in the areas of the IoT, deep leaing, machine leaing, image processing, big data, cloud computing, and remote sensing will find this book useful.

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