Pioneering Smart Healthcare 5 0 With Iot Federated Learning And Cloud Security
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Pioneering Smart Healthcare 5 0 With Iot Federated Learning And Cloud Security
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Author : Hassan, Ahdi
language : en
Publisher: IGI Global
Release Date : 2024-02-14
Pioneering Smart Healthcare 5 0 With Iot Federated Learning And Cloud Security written by Hassan, Ahdi and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-02-14 with Medical categories.
The Healthcare sector is experiencing a mindset change with the advent of Healthcare 5.0, bringing forth improved patient care and system efficiency. However, this transformation poses significant challenges. The growing digitization of healthcare systems raises concerns about the security and privacy of patient data, making seamless data sharing and collaboration increasingly complex tasks. Additionally, as the volume of healthcare data expands exponentially, efficient handling and analysis become vital for optimizing healthcare delivery and patient outcomes. Addressing these multifaceted issues is crucial for healthcare professionals, IT experts, data scientists, and researchers seeking to fully harness the potential of Healthcare 5.0. Pioneering Smart Healthcare 5.0 with IoT, Federated Learning, and Cloud Security presents a comprehensive solution to the pressing challenges in the digitalized healthcare industry. This research book dives into the principles of Healthcare 5.0 and explores practical implementation through cloud computing, data analytics, and federated learning. Readers will gain profound insights into the role of cloud computing in managing vast amounts of healthcare data, such as electronic health records and real-time analytics. Cloud-based frameworks, architectures, and relevant use cases are explored to optimize healthcare delivery and improve patient outcomes.
Ai Driven Healthcare Cybersecurity And Privacy
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Author : Kulkarni, Shrikaant
language : en
Publisher: IGI Global
Release Date : 2025-04-23
Ai Driven Healthcare Cybersecurity And Privacy written by Kulkarni, Shrikaant and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-04-23 with Medical categories.
As healthcare systems adopt advanced technologies like electronic health records, telemedicine, and wearable health devices, the volume of sensitive information grows, making it a target for cyberattacks. Artificial intelligence (AI) enhances security by offering real-time threat detection, anomaly identification, and adaptive defenses that can anticipate and counter cyber threats. AI plays a pivotal role in ensuring privacy by implementing advanced encryption techniques, access controls, and compliance monitoring, all while maintaining patient care. Further research of the integration of AI into healthcare cybersecurity strategies may assist organizations in strengthening their defenses, protecting patient confidentiality, and ensuring regulatory compliance in a digital landscape. AI-Driven Healthcare Cybersecurity and Privacy explores the integration of intelligent technologies into medical data security and privacy. It examines the role of AI in securing patients’ medical information, as well as organizational privacy techniques for broader healthcare systems. This book covers topics such as federated learning, deep learning, and cloud technology, and is a useful resource for engineers, computer and data scientists, security professionals, medical and healthcare workers, academicians, and researchers.
Navigating The Augmented And Virtual Frontiers In Engineering
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Author : Siva Subramanian, R.
language : en
Publisher: IGI Global
Release Date : 2024-07-22
Navigating The Augmented And Virtual Frontiers In Engineering written by Siva Subramanian, R. and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-07-22 with Computers categories.
In the ever-changing world of engineering, the confluence of Augmented Reality (AR) and Virtual Reality (VR) promises a revolutionary frontier; one that has the potential to remodel the fundamental fabric of our designed world. As our society approaches the genesis of a new age, the need for the study of this bourgeoning technology becomes clear. If harnessed properly, AR and VR have the capacity to revolutionize basic aspects of engineering methods. The combination of AR and VR can tackle the rising difficulties that engineers encounter in their design processes by providing improved tools for visualization and conceptualization. Navigating the Augmented and Virtual Frontiers in Engineering, is a thorough examination of the transformational impact of AR and VR in the vast field of engineering. This book explores the fundamental concepts, practical applications, and significant consequences of incorporating AR and VR technology into numerous engineering disciplines. It provides a comprehensive knowledge of how these immersive technologies are used in design processes, training simulations, maintenance procedures, and collaborative engineering projects. Covering topics such as asset management, geographic analysis, and sustainability, this book is an excellent resource for engineers, researchers, technological developers, postgraduate students, educators, academicians, and more.
New Technological Applications In The Flipped Learning Model
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Author : Reyes Ruiz, Gerardo
language : en
Publisher: IGI Global
Release Date : 2025-03-19
New Technological Applications In The Flipped Learning Model written by Reyes Ruiz, Gerardo and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-03-19 with Education categories.
The flipped learning model evolves with the integration of new technological applications. These innovations revolutionize how educators engage students and how students access and interact with learning materials. Advanced digital tools transform the way content is delivered, allowing for more dynamic and immersive learning experiences. Adaptive learning technologies tailor instructional content to the individual needs of each student, providing real-time feedback and enhancing the learning process. Collaborative technologies enable peer-to-peer interactions and project-based learning, fostering a deeper sense of engagement and critical thinking. As these technological advancements emerge, the flipped learning model becomes more flexible, accessible, and capable of supporting a diverse range of learning styles, empowering both educators and students to achieve effective educational outcomes. New Technological Applications in the Flipped Learning Model examines the integration of education technology into flipped classrooms. It examines the flipped learning model, its benefits, challenges, and best practices for accessible student learning. This book covers topics such as digital technology, higher education, and metaverse, and is a useful resource for computer engineers, educators, academicians, researchers, and scientists.
Generative Ai For Transformational Management
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Author : Gomathi Sankar, Jeganathan
language : en
Publisher: IGI Global
Release Date : 2024-08-27
Generative Ai For Transformational Management written by Gomathi Sankar, Jeganathan and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-08-27 with Business & Economics categories.
The business world today is changing at a breakneck pace. Traditional management practices need help keeping up with the uncertainties and complexities of the digital age. Leaders face a lot of pressure to innovate, adapt, and drive transformative change within their organizations. However, they need more than just conventional wisdom to navigate this terrain. A deep understanding of emerging technologies like artificial intelligence (AI) and their practical applications in management is essential. Generative AI for Transformational Management offers a compelling solution to these challenges. This book provides a roadmap for leveraging AI to drive organizational transformation by exploring the intersection of generative AI and visionary leadership. By examining real-world case studies and practical applications, readers can learn how AI can be integrated into leadership practices to promote innovation and proactive decision-making and effectively navigate the complexities of the digital age.
Federated Learning And Ai For Healthcare 5 0
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Author : Hassan, Ahdi
language : en
Publisher: IGI Global
Release Date : 2023-12-18
Federated Learning And Ai For Healthcare 5 0 written by Hassan, Ahdi and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-12-18 with Medical categories.
The Healthcare sector is evolving with Healthcare 5.0, promising better patient care and efficiency. However, challenges like data security and analysis arise due to increased digitization. Federated Learning and AI for Healthcare 5.0 offers solutions, explaining cloud computing's role in managing data and advocating for security measures. It explores federated learning's use in maintaining data privacy during analysis, presenting practical cases for implementation. The book also addresses emerging tech like quantum computing and blockchain-based services, envisioning an innovative Healthcare 5.0. It empowers healthcare professionals, IT experts, and data scientists to leverage these technologies for improved patient care and system efficiency, making Healthcare 5.0 secure and patient centric.
Federated Intelligent System For Healthcare
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Author : S. Rakesh Kumar
language : en
Publisher: John Wiley & Sons
Release Date : 2025-07-16
Federated Intelligent System For Healthcare written by S. Rakesh Kumar and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-07-16 with Law categories.
This practical guide gives valuable insights for integrating advanced technologies in healthcare, empowering researchers to effectively navigate and implement federated systems to enhance patient care. Federated Intelligent Systems for Healthcare: A Practical Guide explores the integration of federated learning and intelligent systems within the healthcare domain. This volume provides an in-depth understanding of how federated systems enhance healthcare practices, detailing their principles, technologies, challenges, and opportunities. Additionally, this book addresses secure and privacy-preserving sharing of medical data, applications of artificial intelligence and machine learning in healthcare, and ethical considerations surrounding the adoption of these advanced technologies. With a focus on practical implementation and real-world use cases, Federated Intelligent Systems for Healthcare: A Practical Guide equips healthcare professionals, researchers, and technology experts with the knowledge needed to navigate the complexities of federated intelligent systems in healthcare and harness their potential to transform patient care and medical advancements. Readers will find the book: Provides cutting-edge research from industry experts to unlock the future of healthcare with innovative insights that embrace federated intelligence and shape the future; Presents novel technologies and conceptual and visionary-based scenarios; Discusses real-world case studies and implementations that illustrate how federated intelligence is practically applied across various healthcare scenarios, from personalized diagnostics to population-level insights; Stands as a pioneer in the exploration of federated intelligent systems in healthcare. Audience Data scientists, IT, healthcare and business professionals working towards innovations in the healthcare sector. The book will be especially helpful to students and educators.
Smart Technologies In Healthcare Management
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Author : Nidhi Sindhwani
language : en
Publisher: CRC Press
Release Date : 2024-06-28
Smart Technologies In Healthcare Management written by Nidhi Sindhwani and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-06-28 with Business & Economics categories.
Offering a holistic view of the pioneering trends and innovations in smart healthcare management, this book focuses on the methodologies, frameworks, design issues, tools, architectures, and technologies necessary to develop and understand intelligent healthcare systems and emerging applications in the present era. Smart Technologies in Healthcare Management: Pioneering Trends and Applications provides an overview of various technical and innovative aspects, challenges, and issues in smart healthcare, along with recent and novel findings. It highlights the latest advancements and applications in the field of intelligent systems and explores the importance of cloud computing and the design of sensors in an IoT system. The book offers algorithms and a framework with models in machine learning and AI for smart healthcare management. A detailed flow chart and innovative and modified methodologies related to intelligent computing in healthcare are discussed, as well as real-world-based examples so that readers can compare technical concepts with daily life concepts. This book will be a useful reference for academicians and the healthcare industry, along with professionals interested in exploring innovations in varied applicational areas of AI, IoT, and machine learning. Researchers, startup companies, and entrepreneurs will also find this book of interest.
Federated Learning For Digital Healthcare Systems
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Author : Agbotiname Lucky Imoize
language : en
Publisher: Elsevier
Release Date : 2024-06-02
Federated Learning For Digital Healthcare Systems written by Agbotiname Lucky Imoize and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-06-02 with Computers categories.
Federated Learning for Digital Healthcare Systems critically examines the key factors that contribute to the problem of applying machine learning in healthcare systems and investigates how federated learning can be employed to address the problem. The book discusses, examines, and compares the applications of federated learning solutions in emerging digital healthcare systems, providing a critical look in terms of the required resources, computational complexity, and system performance.In the first section, chapters examine how to address critical security and privacy concerns and how to revamp existing machine learning models. In subsequent chapters, the book's authors review recent advances to tackle emerging efficient and lightweight algorithms and protocols to reduce computational overheads and communication costs in wireless healthcare systems. Consideration is also given to government and economic regulations as well as legal considerations when federated learning is applied to digital healthcare systems. - Provides insights into real-world scenarios of the design, development, deployment, application, management, and benefits of federated learning in emerging digital healthcare systems - Highlights the need to design efficient federated learning-based algorithms to tackle the proliferating security and patient privacy issues in digital healthcare systems - Reviews the latest research, along with practical solutions and applications developed by global experts from academia and industry
Smart Healthcare And Machine Learning
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Author : Mousmi Ajay Chaurasia
language : en
Publisher: Springer Nature
Release Date : 2024-07-12
Smart Healthcare And Machine Learning written by Mousmi Ajay Chaurasia and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-07-12 with Mathematics categories.
The book explores the convergence of healthcare and cutting-edge technology, making it a captivating subject for readers interested in future research. Smart healthcare with machine learning techniques offers a transformative paradigm that utilizes the power of new technology, data analytics, and interconnected devices to enhance the quality, efficiency, and accessibility of healthcare services. This involves leveraging Internet of Things (IoT) devices, wearable technology, and machine learning algorithms to monitor patient health, predict medical conditions, and offer personalized treatment recommendations. This innovative combination not only enhances diagnostics and treatment but also addresses the research challenges of healthcare access and delivery in an increasingly connected world. By exploring the synergy between smart healthcare and machine learning, the book helps to understand how these technologies can collaborate to revolutionize patient care and healthcare delivery. This book is an outcome with applications of future technologies to overcome the toughest humanitarian challenges from an engineering approach.