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Deep Learning In Internet Of Things For Next Generation Healthcare


Deep Learning In Internet Of Things For Next Generation Healthcare
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Deep Learning In Internet Of Things For Next Generation Healthcare


Deep Learning In Internet Of Things For Next Generation Healthcare
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Author : Lavanya Sharma
language : en
Publisher: CRC Press
Release Date : 2024-06-18

Deep Learning In Internet Of Things For Next Generation Healthcare written by Lavanya Sharma and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-06-18 with Computers categories.


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.



Deep Learning In Internet Of Things For Next Generation Healthcare


Deep Learning In Internet Of Things For Next Generation Healthcare
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Author : Lavanya Sharma
language : en
Publisher:
Release Date : 2024

Deep Learning In Internet Of Things For Next Generation Healthcare written by Lavanya Sharma and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024 with Artificial intelligence categories.


"This book presents latest developments in deep learning-enabled healthcare tools and technologies and offers practical ideas of using IoT with deep learning (motion-based object data) to deal with human dynamics, and challenges including critical applications domains, technologies, medical imaging, drug discovery, insurance fraud detection and solutions to handle relevant challenges. This book offers real-time healthcare applications, novel solutions, current open challenges, and future of deep learning for next generation healthcare. It includes detailed analysis of the utilization of 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, Genome. Presents practical approaches of using IoT with deep learning vision, 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, genome and many more Includes the latest technological advances in IoT and deep learning with their implementations in Health Care Combines deep learning and analysis into 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 object and solutions to handle relevant challenges Postgraduate students and Researchers in the departments of Computer Science, working in the areas of IoT, deep learning, machine learning, image processing, big data, cloud computing, remote sensing will find this book useful"--



Next Generation Therapeutics Using Internet Of Things And Machine Learning


Next Generation Therapeutics Using Internet Of Things And Machine Learning
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Author : Shuaib, Mohammed
language : en
Publisher: IGI Global
Release Date : 2025-05-21

Next Generation Therapeutics Using Internet Of Things And Machine Learning written by Shuaib, Mohammed and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-05-21 with Medical categories.


The integration of the Internet of Things (IoT) and Machine Learning (ML) is revolutionizing healthcare and environmental management by enabling real-time monitoring, predictive analytics, and personalized interventions. These technologies enhance patient care by facilitating early disease detection, remote monitoring, and data-driven treatment strategies, ultimately improving health outcomes. In environmental management, IoT and ML contribute to sustainable solutions by tracking air and water quality, predicting pollution trends, and optimizing resource usage. Their application in decentralized health records and chronic disease management streamlines operations, reduces costs, and empowers individuals with greater control over their health. As these technologies continue to evolve, they hold immense potential to create smarter, more resilient healthcare and environmental systems. Next-Generation Therapeutics Using Internet of Things and Machine Learning provides a comprehensive framework for understanding and implementing IoT and ML in healthcare and environmental monitoring. By exploring practical applications, this book delves into how these technologies are reshaping diagnostics, patient care, operational efficiencies, and environmental sustainability. Covering topics such as artificial intelligence (AI), medical data exchange, and sustainability, this book is an excellent resource for researchers, practitioners, students, and more.



Internet Of Things And Big Data Technologies For Next Generation Healthcare


Internet Of Things And Big Data Technologies For Next Generation Healthcare
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Author : Chintan Bhatt
language : en
Publisher: Springer
Release Date : 2017-01-01

Internet Of Things And Big Data Technologies For Next Generation Healthcare written by Chintan Bhatt and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-01-01 with Technology & Engineering categories.


This comprehensive book focuses on better big-data security for healthcare organizations. Following an extensive introduction to the Internet of Things (IoT) in healthcare including challenging topics and scenarios, it offers an in-depth analysis of medical body area networks with the 5th generation of IoT communication technology along with its nanotechnology. It also describes a novel strategic framework and computationally intelligent model to measure possible security vulnerabilities in the context of e-health. Moreover, the book addresses healthcare systems that handle large volumes of data driven by patients’ records and health/personal information, including big-data-based knowledge management systems to support clinical decisions. Several of the issues faced in storing/processing big data are presented along with the available tools, technologies and algorithms to deal with those problems as well as a case study in healthcare analytics. Addressing trust, privacy, and security issues as well as the IoT and big-data challenges, the book highlights the advances in the field to guide engineers developing different IoT devices and evaluating the performance of different IoT techniques. Additionally, it explores the impact of such technologies on public, private, community, and hybrid scenarios in healthcare. This book offers professionals, scientists and engineers the latest technologies, techniques, and strategies for IoT and big data.



Next Generation Of Internet Of Things


Next Generation Of Internet Of Things
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Author : Raghvendra Kumar
language : en
Publisher: Springer Nature
Release Date : 2022-09-26

Next Generation Of Internet Of Things written by Raghvendra Kumar and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-09-26 with Technology & Engineering categories.


This book includes selected papers from the International Conference on Next Generation of Internet of Things (ICNGIoT 2022), organized by Department of Computer Science and Engineering, School of Engineering, GIET University, Gunupur, Odisha, India, during February 3–4, 2022. The book covers topics such as IoT network design and architecture, IoT network virtualization, IoT sensors, privacy and security for IoT, SMART environment, social networks, data science and data analytics, cognitive intelligence and augmented intelligence, and case studies and applications.



Next Generation Healthcare


Next Generation Healthcare
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Author : Jyotir Moy Chatterjee
language : en
Publisher: Cambridge Scholars Publishing
Release Date : 2025-03-27

Next Generation Healthcare written by Jyotir Moy Chatterjee and has been published by Cambridge Scholars Publishing this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-03-27 with Computers categories.


Healthcare faces significant challenges due to fragmented data, vendor-locked systems, and security concerns, which hinder the timely delivery of clinical insights and efficient workflow management. This book explores the transformative potential of AI, particularly deep learning (DL) AI, in addressing these issues and enabling personalized healthcare. It covers diverse applications such as clinical trials, telemedicine, EHR management, and disease detection, emphasizing the importance of accurate algorithms to enhance patient outcomes. Key chapters delve into AI’s impact on areas like Parkinson’s and Alzheimer’s detection, the role of blockchain in data integrity, the use of NLP, AR/VR in healthcare, and strategies to combat billing fraud. The book also highlights the importance of diversity in healthcare and presents cutting-edge DL frameworks, such as YOLOv8 and U-Net, for medical image segmentation, offering valuable insights for researchers, practitioners, and policymakers alike.



Digital Twins And Simulation Technology


Digital Twins And Simulation Technology
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Author : Lavanya Sharma
language : en
Publisher: CRC Press
Release Date : 2025-07-04

Digital Twins And Simulation Technology written by Lavanya Sharma and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-07-04 with Computers categories.


This book provides a comprehensive overview of the concept of digital twins, emphasising its strategic importance across various commercial domains. This book covers the fundamentals, data requirements, tools, and technologies essential for understanding and implementing digital twins. It discusses how digital twins are used for running simulations, analysing performance issues, and generating potential improvements to optimise business processes. The book explores the architecture, historical background, and real-time applications in sectors including urban planning, healthcare, smart cities, and manufacturing. Explains digital twin technology, including its core principles, architecture, and how it replicates physical objects in virtual platforms, in detail Covers the data types and tools necessary for creating and maintaining digital twins, including sensors, data processing systems, and integration methodologies Explores technologies such as Computer Vision, IoT, AI, ML, 5G, AR, and VR that drive the functionality and application of digital twins Analyses practical applications in diverse sectors like urban planning, smart cities, healthcare, manufacturing operations, and power-generation equipment, showcasing real-world use cases and benefits Examines real-time challenges and limitations associated with implementing digital twin technology, providing a balanced view of its capabilities and constraints It is a reference book for researchers, scholars, and students who are working or interested in learning about digital twin technology.



Machine Learning For Critical Internet Of Medical Things


Machine Learning For Critical Internet Of Medical Things
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Author : Fadi Al-Turjman
language : en
Publisher: Springer Nature
Release Date : 2022-02-03

Machine Learning For Critical Internet Of Medical Things written by Fadi Al-Turjman and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-02-03 with Technology & Engineering categories.


This book discusses the applications, challenges, and future trends of machine learning in medical domain, including both basic and advanced topics. The book presents how machine learning is helpful in smooth conduction of administrative processes in hospitals, in treating infectious diseases, and in personalized medical treatments. The authors show how machine learning can also help make fast and more accurate disease diagnoses, easily identify patients, help in new types of therapies or treatments, model small-molecule drugs in pharmaceutical sector, and help with innovations via integrated technologies such as artificial intelligence as well as deep learning. The authors show how machine learning also improves the physician’s and doctor’s medical capabilities to better diagnosis their patients. This book illustrates advanced, innovative techniques, frameworks, concepts, and methodologies of machine learning that will enhance the efficiency and effectiveness of the healthcare system. Provides researchers in machine and deep learning with a conceptual understanding of various methodologies of implementing the technologies in medical areas; Discusses the role machine learning and IoT play into locating different virus and diseases across the globe, such as COVID-19, Ebola, and cervical cancer; Includes fundamentals and advances in machine learning in the medical field, supported by significant case studies and practical applications.



Society 5 0 And Next Generation Healthcare


Society 5 0 And Next Generation Healthcare
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Author : Zodwa Dlamini
language : en
Publisher: Springer Nature
Release Date : 2023-08-08

Society 5 0 And Next Generation Healthcare written by Zodwa Dlamini and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-08-08 with Medical categories.


This book analyses the ability of technological advancements to represent, enhance, and empower multidisciplinarity in the context of Society 5.0. and next generation medicine. New technologies allow patients to communicate with medical personnel anytime, anywhere and shape the terrain of healthcare ecosystem at an unprecedented rate. Five main trends become apparent in this process: Hybrid care models combining virtual and in-person services, digitization of healthcare specialties, increased Artificial intelligence (AI) adoption, health systems moving to the cloud and advanced precision medicine. In its chapters the book dissects the important roles for technologies in areas such as digital twinning, big data, Internet of Things, AI, cyber-physical systems, blockchain technology to lead the healthcare digitalization envisioned in Society 5.0. Throughout the book the authors discuss how to incorporate these new technologies legally, ethically, safely, and securely and in keeping with the highest standards of human rights. It also advocates for the need for careful oversight and mindful allocation of resources and energy for sustainable development. This book, written by experts in the field from academia and industry, will appeal to researchers, healthcare professionals, policy makers, teachers and students interested in the ways healthcare is reorganized based on digital transformation efforts and the rethinking of care, including technologies.



Machine Learning And Iot Applications For Health Informatics


Machine Learning And Iot Applications For Health Informatics
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Author : Pijush Samui
language : en
Publisher: CRC Press
Release Date : 2024-10-31

Machine Learning And Iot Applications For Health Informatics written by Pijush Samui and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-10-31 with Computers categories.


This book brings together leading experts from around the world to explore the transformative potential of Machine Learning (ML) and the Internet of Things (IoT) in healthcare. It provides a platform for studying a future where healthcare becomes more precise, personalized, and accessible for all. The book covers recent advancements that will shape the future of healthcare and how artificial intelligence is revolutionizing disease detection, from analyzing chest X-rays for pneumonia to solving the secrets of our genes. It investigates the transformative potential of smart devices, real-time analysis of heart data, and personalized treatment plan creation. It shows how ML and IoT work and presents real-world examples of how they are leading to earlier and more accurate diagnoses and personalized treatments. Therefore, this edited book will be an invaluable resource for researchers, healthcare professionals, data scientists, or simply someone passionate about the future of healthcare. Readers will discover the exciting possibilities that lie ahead at the crossroads of ML, IoT, and health informatics.