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Pioneering smart healthcare 5.0 with IoT, federated learning, and cloud security

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Pioneering smart healthcare 5.0 with IoT, federated learning, and cloud security/ Ahdi Hassan, Vivek Kumar Prasad, Pronaya Bhattacharya, Pushan Kumar Dutta, Robertas Damasevicius, editors.
其他作者:	Damasevicius, Robertas.
出版者:	Hershey, Pennsylvania :IGI Global, : 2024.,
面頁冊數:	1 online resource (352 p.)
標題:	Cloud Computing. -
電子資源:	http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/979-8-3693-2639-8
ISBN:	9798369326404

Pioneering smart healthcare 5.0 with IoT, federated learning, and cloud security
Pioneering smart healthcare 5.0 with IoT, federated learning, and cloud security[electronic resource] /Ahdi Hassan, Vivek Kumar Prasad, Pronaya Bhattacharya, Pushan Kumar Dutta, Robertas Damasevicius, editors. - Hershey, Pennsylvania :IGI Global,2024. - 1 online resource (352 p.)

Includes bibliographical references and index.

Chapter 1. Fundamentals of healthcare 5.0 -- Chapter 2. Role of Internet of things: challenges and opportunities -- Chapter 3. Patterns in IoT-based healthcare: trends, challenges, and future directions -- Chapter 4. Cloud-based data analytics for healthcare 5.0 -- Chapter 5. The impact of federated learning on AI-enhanced healthcare delivery -- Chapter 6. Federated learning and fusion of IoT for smart healthcare applications -- Chapter 7. Edge-cloud collaborative inference expending federated learning in task migration -- Chapter 8. Cloud-based IoT data warehousing technology for e-healthcare: a comprehensive guide to e-health grids -- Chapter 9. Privacy-centric approach in leveraging federated learning for improved Parkinson's disease diagnosis -- Chapter 10. Intrusion detection and prevention techniques in FL cloud-based healthcare 5.0: a comprehensive review -- Chapter 11. Machine learning in cybersecurity: a comprehensive survey of data breach detection, cyber-attack prevention, and fraud detection -- Chapter 12. Security challenges and solutions using healthcare cloud computing -- Chapter 13. Leveraging cloud computing for healthcare: opportunities and challenges -- Chapter 14. An extensive evaluation of new federated learning approaches for COVID-19 identification -- Chapter 15. Big data application of breast cancer prediction: a healthcare 5.0 application for smart cities -- Chapter 16. Biometric identification using face mask DL and open CV: security approach post COVID-19.

"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 ofhealthcare 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."--

ISBN: 9798369326404Subjects--Topical Terms:

995022
Cloud Computing.
Index Terms--Genre/Form:

554714
Electronic books.

LC Class. No.: R855.3 / .P56 2024e

Dewey Class. No.: 610.285

National Library of Medicine Call No.: W 82 / .P56 2024

Pioneering smart healthcare 5.0 with IoT, federated learning, and cloud security
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260 $a Hershey, Pennsylvania : $b IGI Global, $c 2024.
300 $a 1 online resource (352 p.)
504 $a Includes bibliographical references and index.
505 0 $a Chapter 1. Fundamentals of healthcare 5.0 -- Chapter 2. Role of Internet of things: challenges and opportunities -- Chapter 3. Patterns in IoT-based healthcare: trends, challenges, and future directions -- Chapter 4. Cloud-based data analytics for healthcare 5.0 -- Chapter 5. The impact of federated learning on AI-enhanced healthcare delivery -- Chapter 6. Federated learning and fusion of IoT for smart healthcare applications -- Chapter 7. Edge-cloud collaborative inference expending federated learning in task migration -- Chapter 8. Cloud-based IoT data warehousing technology for e-healthcare: a comprehensive guide to e-health grids -- Chapter 9. Privacy-centric approach in leveraging federated learning for improved Parkinson's disease diagnosis -- Chapter 10. Intrusion detection and prevention techniques in FL cloud-based healthcare 5.0: a comprehensive review -- Chapter 11. Machine learning in cybersecurity: a comprehensive survey of data breach detection, cyber-attack prevention, and fraud detection -- Chapter 12. Security challenges and solutions using healthcare cloud computing -- Chapter 13. Leveraging cloud computing for healthcare: opportunities and challenges -- Chapter 14. An extensive evaluation of new federated learning approaches for COVID-19 identification -- Chapter 15. Big data application of breast cancer prediction: a healthcare 5.0 application for smart cities -- Chapter 16. Biometric identification using face mask DL and open CV: security approach post COVID-19.
520 3 $a "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 ofhealthcare 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."-- $c Provided by publisher.
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