Pioneering Smart Healthcare 5 0 With Iot Federated Learning And Cloud Security

Pioneering Smart Healthcare 5 0 With Iot Federated Learning And Cloud Security Book in PDF, ePub and Kindle version is available to download in english. Read online anytime anywhere directly from your device. Click on the download button below to get a free pdf file of Pioneering Smart Healthcare 5 0 With Iot Federated Learning And Cloud Security book. This book definitely worth reading, it is an incredibly well-written.

Pioneering Smart Healthcare 5.0 with IoT, Federated Learning, and Cloud Security

Author : Hassan, Ahdi,Prasad, Vivek Kumar,Bhattacharya, Pronaya,Dutta, Pushan Kumar,Damaševi?ius, Robertas
Publisher : IGI Global
Page : 372 pages
File Size : 42,5 Mb
Release : 2024-02-14
Category : Medical
ISBN : 9798369326404

Get Book

Pioneering Smart Healthcare 5.0 with IoT, Federated Learning, and Cloud Security by Hassan, Ahdi,Prasad, Vivek Kumar,Bhattacharya, Pronaya,Dutta, Pushan Kumar,Damaševi?ius, Robertas Pdf

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.

Federated Learning and AI for Healthcare 5.0

Author : Hassan, Ahdi,Prasad, Vivek Kumar,Bhattacharya, Pronaya,Dutta, Pushan,Damaševi?ius, Robertas
Publisher : IGI Global
Page : 413 pages
File Size : 48,7 Mb
Release : 2023-12-18
Category : Medical
ISBN : 9798369310830

Get Book

Federated Learning and AI for Healthcare 5.0 by Hassan, Ahdi,Prasad, Vivek Kumar,Bhattacharya, Pronaya,Dutta, Pushan,Damaševi?ius, Robertas Pdf

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.

Smart Healthcare System Design

Author : S. K. Hafizul Islam,Debabrata Samanta
Publisher : John Wiley & Sons
Page : 386 pages
File Size : 47,9 Mb
Release : 2021-06-29
Category : Computers
ISBN : 9781119791683

Get Book

Smart Healthcare System Design by S. K. Hafizul Islam,Debabrata Samanta Pdf

SMART HEALTHCARE SYSTEM DESIGN This book deeply discusses the major challenges and issues for security and privacy aspects of smart health-care systems. The Internet-of-Things (IoT) has emerged as a powerful and promising technology, and though it has significant technological, social, and economic impacts, it also poses new security and privacy challenges. Compared with the traditional internet, the IoT has various embedded devices, mobile devices, a server, and the cloud, with different capabilities to support multiple services. The pervasiveness of these devices represents a huge attack surface and, since the IoT connects cyberspace to physical space, known as a cyber-physical system, IoT attacks not only have an impact on information systems, but also affect physical infrastructure, the environment, and even human security. The purpose of this book is to help achieve a better integration between the work of researchers and practitioners in a single medium for capturing state-of-the-art IoT solutions in healthcare applications, and to address how to improve the proficiency of wireless sensor networks (WSNs) in healthcare. It explores possible automated solutions in everyday life, including the structures of healthcare systems built to handle large amounts of data, thereby improving clinical decisions. The 14 separate chapters address various aspects of the IoT system, such as design challenges, theory, various protocols, implementation issues, as well as several case studies. Smart Healthcare System Design covers the introduction, development, and applications of smart healthcare models that represent the current state-of-the-art of various domains. The primary focus is on theory, algorithms, and their implementation targeted at real-world problems. It will deal with different applications to give the practitioner a flavor of how IoT architectures are designed and introduced into various situations. Audience: Researchers and industry engineers in information technology, artificial intelligence, cyber security, as well as designers of healthcare systems, will find this book very valuable.

Internet of Things Based Smart Healthcare

Author : Suparna Biswas,Chandreyee Chowdhury,Biswaranjan Acharya,Chuan-Ming Liu
Publisher : Springer Nature
Page : 394 pages
File Size : 52,9 Mb
Release : 2022-07-18
Category : Computers
ISBN : 9789811914089

Get Book

Internet of Things Based Smart Healthcare by Suparna Biswas,Chandreyee Chowdhury,Biswaranjan Acharya,Chuan-Ming Liu Pdf

This book provides both the developers and the users with an awareness of the challenges and opportunities of advancements in healthcare paradigm with the application and availability of advanced hardware, software, tools, technique or algorithm development stemming the Internet of Things. The book helps readers to bridge the gap in their three understanding of three major domains and their interconnections: Hardware tested and software APP development for data collection, intelligent protocols for analysis and knowledge extraction. Medical expertise to interpret extracted knowledge towards disease prediction or diagnosis and support. Security experts to ensure data correctness for precise advice. The book provides state-of-the-art overviews by active researchers, technically elaborating healthcare architectures/frameworks, protocols, algorithms, methodologies followed by experimental results and evaluation. Future direction and scope will be precisely documented for interested readers.

Federated Learning for Internet of Medical Things

Author : Pronaya Bhattacharya,Ashwin Verma,Sudeep Tanwar
Publisher : CRC Press
Page : 254 pages
File Size : 50,9 Mb
Release : 2023-06-16
Category : Computers
ISBN : 9781000891393

Get Book

Federated Learning for Internet of Medical Things by Pronaya Bhattacharya,Ashwin Verma,Sudeep Tanwar Pdf

This book intends to present emerging Federated Learning (FL)-based architectures, frameworks, and models in Internet of Medical Things (IoMT) applications. It intends to build on the basics of the healthcare industry, the current data sharing requirements, and security and privacy issues in medical data sharing. Once IoMT is presented, the book shifts towards the proposal of privacy-preservation in IoMT, and explains how FL presents a viable solution to these challenges. The claims are supported through lucid illustrations, tables, and examples that present effective and secured FL schemes, simulations, and practical discussion on use-case scenarios in a simple manner. The book intends to create opportunities for healthcare communities to build effective FL solutions around the presented themes, and to support work in related areas that will benefit from reading the book. It also intends to present breakthroughs and foster innovation in FL-based research, specifically in the IoMT domain. The emphasis of this book is on understanding the contributions of IoMT to healthcare analytics, and its aim is to provide insights including evolution, research directions, challenges, and the way to empower healthcare services through federated learning. The book also intends to cover the ethical and social issues around the recent advancements in the field of decentralized Artificial Intelligence. The book is mainly intended for undergraduates, post-graduates, researchers, and healthcare professionals who wish to learn FL-based solutions right from scratch, and build practical FL solutions in different IoMT verticals.

Internet of Healthcare Things

Author : Kavita Sharma,Yogita Gigras,Vishnu Sharma,D. Jude Hemanth,Ramesh Chandra Poonia
Publisher : John Wiley & Sons
Page : 308 pages
File Size : 47,7 Mb
Release : 2022-03-09
Category : Science
ISBN : 9781119791768

Get Book

Internet of Healthcare Things by Kavita Sharma,Yogita Gigras,Vishnu Sharma,D. Jude Hemanth,Ramesh Chandra Poonia Pdf

INTERNET OF HEALTHCARE THINGS The book addresses privacy and security issues providing solutions through authentication and authorization mechanisms, blockchain, fog computing, machine learning algorithms, so that machine learning-enabled IoT devices can deliver information concealed in data for fast, computerized responses and enhanced decision-making. The main objective of this book is to motivate healthcare providers to use telemedicine facilities for monitoring patients in urban and rural areas and gather clinical data for further research. To this end, it provides an overview of the Internet of Healthcare Things (IoHT) and discusses one of the major threats posed by it, which is the data security and data privacy of health records. Another major threat is the combination of numerous devices and protocols, precision time, data overloading, etc. In the IoHT, multiple devices are connected and communicate through certain protocols. Therefore, the application of emerging technologies to mitigate these threats and provide secure data communication over the network is discussed. This book also discusses the integration of machine learning with the IoHT for analyzing huge amounts of data for predicting diseases more accurately. Case studies are also given to verify the concepts presented in the book. Audience Researchers and industry engineers in computer science, artificial intelligence, healthcare sector, IT professionals, network administrators, cybersecurity experts.

Intelligent Internet of Things for Smart Healthcare Systems

Author : Durgesh Srivastava,Neha Sharma,Deepak Sinwar,Jabar H. Yousif,Hari Prabhat Gupta
Publisher : CRC Press
Page : 269 pages
File Size : 40,8 Mb
Release : 2023-02-23
Category : Computers
ISBN : 9781000834970

Get Book

Intelligent Internet of Things for Smart Healthcare Systems by Durgesh Srivastava,Neha Sharma,Deepak Sinwar,Jabar H. Yousif,Hari Prabhat Gupta Pdf

The book focuses on developments in artificial intelligence (AI) and internet of things (IoT) integration for smart healthcare, with an emphasis on current methodologies and frameworks for the design, growth, implementation, and creative use of such convergence technologies to provide insight into smart healthcare service demands. Concepts like signal recognition, computation, internet of health stuff, and so forth and their applications are covered. Development in connectivity and intelligent networks allowing for social adoption of ambient intelligence is also included. Features: •Introduces Intelligent IoT as applicable to the key areas of smart healthcare. •Discusses computational intelligence and IoT-based optimizations of smart healthcare systems •Explores effective management of healthcare systems using dedicated IoT-based infrastructures •Includes dedicated chapters on securing patient’s confidential data •Reviews diagnosis of critical diseases from medical imaging using advanced deep learning-based approaches This book is aimed at researchers, professionals, and graduate students in intelligent systems, big data, cloud computing, information security, and healthcare systems.

Smart Technologies in Healthcare Management

Author : Nidhi Sindhwani,Ajay Rana,Sarvesh Tanwar,Ramani Kannan
Publisher : Unknown
Page : 0 pages
File Size : 44,6 Mb
Release : 2024-06-04
Category : Electronic
ISBN : 103235691X

Get Book

Smart Technologies in Healthcare Management by Nidhi Sindhwani,Ajay Rana,Sarvesh Tanwar,Ramani Kannan Pdf

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 designing 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.

Smart and Secure Internet of Healthcare Things

Author : Nitin Gupta,Jagdeep Singh,Chinmay Chakraborty,Mamoun Alazab,Dinh-Thuan Do
Publisher : CRC Press
Page : 254 pages
File Size : 42,6 Mb
Release : 2022-12-23
Category : Computers
ISBN : 9781000815085

Get Book

Smart and Secure Internet of Healthcare Things by Nitin Gupta,Jagdeep Singh,Chinmay Chakraborty,Mamoun Alazab,Dinh-Thuan Do Pdf

Internet of Healthcare Things (IoHT) is an Internet of Things (IoT)-based solution that includes a network architecture which allows the connection between a patient and healthcare facilities. This book covers various research issues of smart and secure IoHT, aimed at providing solutions for remote healthcare monitoring using pertinent techniques. Applications of machine learning techniques and data analytics in IoHT, along with the latest communication and networking technologies and cloud computing, are also discussed. Features: Provides a detailed introduction to IoHT and its applications Reviews underlying sensor and hardware technologies Includes recent advances in the IoHT, such as remote healthcare monitoring and wearable devices Explores applications of data analytics/data mining in IoHT, including data management and data governance Focuses on regulatory and compliance issues in IoHT This book is intended for graduate students and researchers in Bioinformatics, Biomedical Engineering, Big Data and Analytics, Data Mining, and Information Management, IoT and Computer and Electrical Engineering.

Intelligent Internet of Things for Healthcare and Industry

Author : Uttam Ghosh,Chinmay Chakraborty,Lalit Garg,Gautam Srivastava
Publisher : Springer Nature
Page : 388 pages
File Size : 40,7 Mb
Release : 2022
Category : Application software
ISBN : 9783030814731

Get Book

Intelligent Internet of Things for Healthcare and Industry by Uttam Ghosh,Chinmay Chakraborty,Lalit Garg,Gautam Srivastava Pdf

This book promotes and facilitates exchanges of research knowledge and findings across different disciplines on the design and investigation of machine learning-based data analytics of IoT infrastructures. This book is focused on the emerging trends, strategies, and applications of IoT in both healthcare and industry data analytics perspectives. The data analytics discussed are relevant for healthcare and industry to meet many technical challenges and issues that need to be addressed to realize this potential. The IoT discussed helps to design and develop the intelligent medical and industry solutions assisted by data analytics and machine learning. At the end of every chapter readers are encouraged to check their understanding by means of brainstorming summary, discussion, exercises and solutions. Focused on the emerging trends, strategies, and applications of IoT in both healthcare and industry data analytics perspectives; Promotes an exchange of research across disciplines on the design and investigation of machine learning-based data analytics of IoT infrastructures; Features case studies emphasizing social and research perspectives on cyber-physical systems, data analytics, intelligence and security.

6G-Enabled IoT and AI for Smart Healthcare

Author : Ashish Kumar,Rachna Jain,Meenu Gupta,Sardar M. N. Islam
Publisher : CRC Press
Page : 331 pages
File Size : 42,5 Mb
Release : 2023-06-21
Category : Technology & Engineering
ISBN : 9781000895841

Get Book

6G-Enabled IoT and AI for Smart Healthcare by Ashish Kumar,Rachna Jain,Meenu Gupta,Sardar M. N. Islam Pdf

In today’s era, there is a need for a system that can automate the process of treatment for the patient if medical facilities are out of reach. Smart healthcare can step in to make the patient more self-dependent. 6G with its features can be seen as the future of smart healthcare with IoT and AI. 6G-Enabled IoT and AI for Smart Healthcare: Challenges, Impact, and Analysis offers the fundamentals, history, reality, and challenges faced in the smart healthcare industry today. It discusses the concepts, tools, and techniques of smart healthcare as well as the analysis used. The book details the role that machine learning-based deep learning and 6G-enabled IoT concepts play in the automation of smart healthcare systems. The book goes on to presents applications of smart healthcare through various real-world examples and includes chapters on security and privacy in the 6G-enabled and IoT environment, as well as research on the future prospects of the smart healthcare industry. This book: Offers the fundamentals, history, reality, and the challenges faced in the smart healthcare industry Discusses the concepts, tools, and techniques of smart healthcare as well as the analysis used Details the role that machine learning-based deep learning and 6G-enabled IoT concepts play in the automation of smart healthcare systems Presents applications of smart healthcare through various real-world examples Includes topics on security and privacy in 6G-enabled IoT, as well as research and future prospectus of the smart healthcare industry Interested readers of this book will include anyone working in or involved in smart healthcare research which includes, but is not limited to healthcare specialists, computer science engineers, electronics engineers, systems engineers, and pharmaceutical practitioners.

Intelligent Healthcare

Author : Chinmay Chakraborty,Mohammad R. Khosravi
Publisher : Springer Nature
Page : 493 pages
File Size : 46,9 Mb
Release : 2022-06-02
Category : Medical
ISBN : 9789811681509

Get Book

Intelligent Healthcare by Chinmay Chakraborty,Mohammad R. Khosravi Pdf

The book Intelligent Healthcare: Infrastructure, Algorithms, and Management® cover a wide range of research topics on innovative intelligent healthcare solutions and advancements with the latest research developments. Data analytics are relevant for healthcare to meet many technical challenges and issues that need to be addressed to realize this potential. The advanced healthcare systems have to be upgraded with new capabilities such as data analytics, machine learning, intelligent decision making, and more professional services. The Internet of Things helps to design and develop intelligent healthcare solutions assisted by security, data analytics, and machine learning. This book will provide federated learning, Data-driven infrastructure design, analytical approaches, and technological solutions with case studies for smart healthcare. This book aims to attract works on multidisciplinary research spanning across computer science and engineering, environmental studies, services, urban planning and development, Healthcare, social sciences, and industrial engineering on technologies, case studies, novel approaches, and visionary ideas related to data-driven innovative learning and computing solutions and big medical data-powered applications to cope with the real-world challenges for building smart healthcare sectors. Main Features: Ø Immersive technologies in healthcare Ø Internet of medical things Ø Federated learning algorithms Ø Explainable AI in Pervasive Healthcare Ø New management principles using biomedical data Ø Secured healthcare management systems This book aims to set up a better understanding of data scientists, researchers, and technologists under innovative digital health. The reader can find out existing research challenges, current market trends, and low-cost technologies to smoothly address the digital health issue.

Implementation of Smart Healthcare Systems using AI, IoT, and Blockchain

Author : Chinmay Chakraborty,Subhendukumar Pani,Mohd Abdul Ahad,Qin Xin
Publisher : Academic Press
Page : 299 pages
File Size : 47,6 Mb
Release : 2022-09-27
Category : Technology & Engineering
ISBN : 9780323919364

Get Book

Implementation of Smart Healthcare Systems using AI, IoT, and Blockchain by Chinmay Chakraborty,Subhendukumar Pani,Mohd Abdul Ahad,Qin Xin Pdf

Implementation of Smart Healthcare Systems using AI, IoT, and Blockchain provides imperative research on the development of data fusion and analytics for healthcare and their implementation into current issues in a real-time environment. While highlighting IoT, bio-inspired computing, big data, and evolutionary programming, the book explores various concepts and theories of data fusion, IoT, and Big Data Analytics. It also investigates the challenges and methodologies required to integrate data from multiple heterogeneous sources, analytical platforms in healthcare sectors. This book is unique in the way that it provides useful insights into the implementation of a smart and intelligent healthcare system in a post-Covid-19 world using enabling technologies like Artificial Intelligence, Internet of Things, and blockchain in providing transparent, faster, secure and privacy preserved healthcare ecosystem for the masses. Explains how IoT can be integrated into the healthcare ecosystem for better diagnostics, monitoring and treatment Includes AI for predictive and preventive healthcare Describes blockchain for managing healthcare data to provide transparency, security and distributed storage Offers effective remote diagnostics and telemedicine approaches Highlights the importance of gold standard medical datasets for improved modeling and analysis

Artificial Intelligence and Internet of Things

Author : Lalit Mohan Goyal,Tanzila Saba,Souad Larabi-Marie-Sainte
Publisher : CRC Press
Page : 440 pages
File Size : 52,6 Mb
Release : 2021
Category : Computers
ISBN : 1003097200

Get Book

Artificial Intelligence and Internet of Things by Lalit Mohan Goyal,Tanzila Saba,Souad Larabi-Marie-Sainte Pdf

"This book reveals the applications of AI and IoT in smart healthcare and medical systems. It also provides core principles, algorithms, protocols, emerging trends, security problems and their findings in e-healthcare services. The book covers applications, provides case studies, and discusses how AI and IoT applications such as wireless devices, sensors, and deep learning could play a major role to assist patients, doctors and pharmaceutical staff. It also focuses on how AI and IoT could be used to keep patients safe, healthy and, at the same time, empower physicians to deliver superlative care. This book is written for researches and practitioners working in sectors of information technology, computer science, products, and services of medical equipment manufacturing industry having basic and high-level AI and IoT applications. The book will also be a useful guide for researchers and students"--

IoT and Cloud Computing-Based Healthcare Information Systems

Author : Anand Sharma,Hiren Kumar Deva Sarma,S. R. Biradar
Publisher : CRC Press
Page : 357 pages
File Size : 45,6 Mb
Release : 2023-06-16
Category : Computers
ISBN : 9781000613384

Get Book

IoT and Cloud Computing-Based Healthcare Information Systems by Anand Sharma,Hiren Kumar Deva Sarma,S. R. Biradar Pdf

This new volume features new and innovative research on the positive contributions of IoT and cloud technology in healthcare information systems for the improvement of patient care and disease management, highlighting the challenges and difficulties along with solutions and strategies. The authors focus on theories, systems, methods, algorithms, and applications and showcase the interface between e-health and communication technologies and their beneficial contribution to building efficient and secure healthcare information systems. Healthcare information systems involve data generation, compilation, arrangement, examination and synthesis, and communication and use. This incorporates frameworks that gather, store, maintain, and protect patients’ electronic medical information and records, providing an invaluable resource for supporting medical services strategies and choices. This volume discusses a multitude of diverse new information technologies in telemedicine, in security for healthcare systems, for medical image authentication, in pulse oximetry via Bluetooth, for virus detection via smartphones, for tumor extraction via extreme learning machine and k-means clustering, for the detection of cancerous cells, for music therapy for mental health purposes, and much more.