國立虎尾科技大學 |

Intelligent Healthcare = Infrastructure, Algorithms and Management /

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Intelligent Healthcare/ edited by Chinmay Chakraborty, Mohammad R. Khosravi.
其他題名:	Infrastructure, Algorithms and Management /
其他作者:	Khosravi, Mohammad R.
面頁冊數:	XI, 498 p. 1 illus.online resource. :
Contained By:	Springer Nature eBook
標題:	Computers and Society. -
電子資源:	https://doi.org/10.1007/978-981-16-8150-9
ISBN:	9789811681509

Intelligent Healthcare = Infrastructure, Algorithms and Management /
Intelligent HealthcareInfrastructure, Algorithms and Management /[electronic resource] :edited by Chinmay Chakraborty, Mohammad R. Khosravi. - 1st ed. 2022. - XI, 498 p. 1 illus.online resource.

Chapter 1. Distributed and Big Health Data Processing for Remote and Ubiquitous Healthcare Services Using Blind Statistical Computing: Review and Trends on Blindness for Internet of Artificially Intelligent Medical Things -- Chapter 2. Computer Techniques for Medical Image Classifica-tion: A Review -- Chapter 3. Optimal Feature Selection for Computer-Aided Charac-terization of Tissues – Case Study of Mammograms -- Chapter 4. Breast Cancer Detection Using Particle Swarm Op-timization and Decision Tree Machine Learning Technique -- Chapter 5. Accountable, Responsible,Transparent Artificial Intelligence in Ambient IntelligenceSystems for Healthcare -- Chapter 6. Intelligent elderly people fall detection based on modified deep learning deep transfer learning and IoT using thermal imaging-assisted pervasive surveillance -- Chapter 7. An Analytic Approach to Diagnose Heart Stroke Using Supervised Machine Learning Techniques -- Chapter 8. A Predictive Analysis for Diagnosis of COVID-19, Pneumonia and Lung Cancer Using Deep Learning -- Chapter 9. Internet of Things in the Healthcare Applications: Overview of Security and Privacy Issues -- Chapter 10. Secure and Privacy-aware Intelligent Healthcare Systems: A Review -- Chapter 11. Secure data transfer and provenance for distributed healthcare -- Chapter 12. Blockchain Technology in Healthcare: Use cases Study -- Chapter 13. Integrating Artificial Intelligence and Blockchain for Enabling a Trusted Ecosystem for Healthcare Sector -- Chapter 14. Internet of Medical Things (IoMT): Applications, Challenges, and Prospects in a Data-Driven Technology -- Chapter 15. Healthcare Infrastructure in Future Smart Cities -- Chapter 16. Wearable Sensors and Pervasive Computing for Remote Healthcare -- Chapter 17. A wavelet-based robust medical image watermarking technique using whale optimization algorithm for data exchange through internet of medical things -- Chapter 18. Emergence of 3D Printing Technology in the Intelligent Healthcare Systems: A Brief Drug Delivery Approach -- Chapter 19. Efficient Physical Layer Techniques for Healthcare Applications: Co-operative Network Coding Algorithms and Modified Equalizers -- Chapter 20. Emerging Paradigm of Smart Healthcare in the Management of COVID-19 Pandemic and Future Health Crisis -- Chapter 21. E-Health System for Automatic Control of Travel Certificates and Monitoring of the Spread of COVID-19 in Tunisia.

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.

ISBN: 9789811681509

Standard No.: 10.1007/978-981-16-8150-9doiSubjects--Topical Terms:

669900
Computers and Society.

LC Class. No.: R858-859.7

Dewey Class. No.: 610.285

Intelligent Healthcare = Infrastructure, Algorithms and Management /
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520 $a 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.
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