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

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

Release Date: February, 2024|Copyright: © 2024 |Pages: 352
DOI: 10.4018/979-8-3693-2639-8
ISBN13: 9798369326398|EISBN13: 9798369326404
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Description & Coverage
Description:

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.

Pioneering Smart Healthcare 5.0 with IoT, Federated Learning, and Cloud Security encourages readers to take initiative and address the security and privacy concerns of cloud-based healthcare systems. It offers invaluable strategies, including security primitives, trust-based architectures, privacy models, and compliance standards, ensuring the protection of sensitive patient data while enabling secure data sharing and collaboration within the healthcare ecosystem. In-depth exploration of federated learning (FL) in healthcare empowers professionals with a comprehensive understanding of this distributed machine learning approach, preserving data privacy during analysis. Through practical case studies and simulations, readers gain actionable insights to implement federated learning models and frameworks, bringing tangible improvements to real-world healthcare 5.0 scenarios.

The book explores emerging technologies like quantum computing, blockchain-based FL cloud services, and intelligent SaaS APIs, envisioning a future where these innovations redefine healthcare 5.0 and lead to groundbreaking advancements. Pioneering Smart Healthcare 5.0 with IoT, Federated Learning, and Cloud Security serves as an indispensable resource, empowering healthcare professionals, IT experts, data scientists, and academicians to navigate the complexities of modern healthcare, leveraging innovative technologies to revolutionize patient care and system efficiency. With its comprehensive approach and practical insights, this book stands at the forefront of advancing Healthcare 5.0 into a more secure, efficient, and patient-centric era.

Coverage:

The many academic areas covered in this publication include, but are not limited to:

  • Blockchain
  • Cloud Computing
  • Data Analytics
  • Data Privacy
  • Electronic Health Records
  • Federated Learning
  • Healthcare 5.0
  • Information Security
  • Machine Learning
  • Medical Simulation Tools
  • Patient-Centric Ecosystems
  • Quantum Computing
  • Real-Time Analytics
  • Trust-Based Architectures
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Editor/Author Biographies
Ahdi Hassan has been Associate or Consulting Editor of numerous journals and also served the editorial review board from 2013- to till now. He has a number of publications and research papers published in various domains. He has given contribution with the major roles such as using modern and scientific techniques to work with sounds and meanings of words, studying the relationship between the written and spoken formats of various Asian/European languages, developing the artificial languages in coherence with modern English language, and scientifically approaching the various ancient written material to trace its origin. He teaches topics connected but not limited to communication such as English for Young Learners, English for Academic Purposes, English for Science, Technology and Engineering, English for Business and Entrepreneurship, Business Intensive Course, Applied Linguistics, interpersonal communication, verbal and nonverbal communication, cross cultural competence, language and humor, intercultural communication, culture and humor, language acquisition and language in use.
Vivek Kumar Prasad is working as an Assistant Professor at Computer Science and Engineering Department. He has more than 11 years of teaching experience. Prof Vivek received his BTech degree in Computer Science and Engineering from MITS Rayagada, Odhisa and MTech degree in Computer Science and Engineering from the MVJ College of Engineering, Bangalore. He has completed his Ph. D. from Nirma University in the field of Cloud Computing and with the following dissertation title: “SLAMMP Framework for Efficient Resource Monitoring and Prediction at an IaaS Cloud”. His research interests include Distributed Computing, Cloud Computing, Machine Learning, and Artificial Intelligence. He has many publications to his credit. He has been actively involved in the organization of various workshops in the Cloud Computing domain.
Pronaya Bhattacharya has authored 130 research papers in leading journals- IEEE-TVT, IEEE-IoTJ, IEEE-TNSE, IEEE Access, FGCS, Wiley-ETT, and top conferences-ACM MobiCom, IEEE ICC, Infocom, and CITS. He is working as reviewer of reputed SCI journals - IEEE-TII, IEEE-IoT, IEEE- Access, IEEE-Network, IJCS-Wiley, OSN, JNCA-Elsevier, MTAP, and SP-Wiley. He is awarded best paper award in ICRIC-2019, and COMS2-2021. His interests include optical communications, blockchain, and machine learning.
Pushan Kumar Dutta is a distinguished Assistant Professor Grade III in the Electronics and Communication Engineering Department at ASETK, Amity University Kolkata. He completed his PhD from Electronics and Tele-Communication Engineering, Jadavpur University, Kolkata, in 2015, and later pursued a post-doctorate from the Erasmus Mundus Association. He has served as a Research Coordinator and Assistant Professor in Andhra Pradesh Engineering college and has been honored with the Young Faculty in Engineering award in 2018. He is ATL Mentor of Change from NITI Aayog Mentor of Change for Eastern Zone. Dr. Dutta's research interests are diverse, including data mining, big data, AI, edge computing, federated learning, predictive analytics, Earthquake Precursor Study, computer hardware, sustainability, electronic devices, design thinking, industry 5.0, machine ethics, and intelligent systems for biomedical. He is an accomplished editor, having edited multiple books in the field of healthcare, signal processing, industry 4.0, digital transformation and for IET, IGI Global, Degruyter, CRC, Elsevier and Springer with over 10 book chapters and as reviewer for Springer, Wiley, CRC, Apple Academic Press, and Taylor and Francis. In addition, he has published more than 42 articles in scopus indexed journals and 90 articles in total. In 2022, Dr. Dutta has already completed 10 book editorials, demonstrating his prolific contribution to academic literature. Dr. Dutta's expertise is recognized through his membership in the technical programming committees of various significant conferences, where he delivers keynote speeches. As part of his mentoring role, he regularly coordinates sports and innovation competitions at Amity University Kolkata and teaches subjects like IoT, robotics and other subjects on the core area like basics of electronic devices and neural network. With an Indian copyright titled "Innovative Digital Teaching and Learning for Professional Readiness," Dr. Dutta is a leading example of innovation in education.
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