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Smart Technologies in Healthcare Management

Pioneering Trends and Applications
 
Kiadás sorszáma: 1
Kiadó: CRC Press
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GBP 99.99
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38 636 (36 796 Ft + 5% áfa )
Kedvezmény(ek): 20% (kb. 9 659 Ft)
A kedvezmény érvényes eddig: 2024. június 30.
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Rövid leírás:

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.

Hosszú leírás:

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.

Tartalomjegyzék:

1. Role of Big Data Analysis for Smart Healthcare in Large Cities.  2. Machine Learning-Based Inconsistency Detection in Medical Data.  3. A Perspective on Improvements in Segmentation Image Processing in Healthcare Datasets.  4. Health Risk Analysis Based on Embedded IoT Data and Machine Learning.  5. A Comparison and Analysis of Risk Based on IoT and Healthcare.  6. Biomechanics Features-Based IoT and Machine Learning For Orthopedic Patients.  7. Healthcare-Based Human Activity Recognition and Transportation Mode Detection Using IoT Sensors.  8. A Study of Metaverse on Medicare Analysis Using Healthcare Analysis.  9. Blockchain and IoT Sensors in Healthcare 5.0.  10. Role of Cloud Computing in Healthcare Sector.  11. Challenges Faced by AI in Healthcare and Future Opportunities.  12. Privacy and Security Consideration in Healthcare: Navigating the Challenges of IoT and Ubiquitous Computing.  13. Empowering Harvest - Unlocking the Secrets to Optimal Health.  14. Violence-Based Object Detection in Streets for Effective Monitoring of Safe Environments.  15. COVID Safety Compliance Detection to Determine Locations with High Probability of Spread of Infection. 16.  Transfer Learning and Chest X-Ray-Based Image Processing and Modeling to Detect COVID-19.