Overview

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.

Full Product Details

Author:   Durgesh Srivastava (Chitkara University, Punjab) ,  Neha Sharma (Chandigarh University, Punjab, India) ,  Deepak Sinwar (Manipal University Jaipur, India) ,  Jabar H. Yousif (Sohar University, Oman)
Publisher:   Taylor & Francis Ltd
Imprint:   CRC Press
ISBN:  

9781032352879

ISBN 10:   1032352876
Pages:   254
Publication Date:   19 December 2024
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Forthcoming
Availability:   Not yet available  
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Table of Contents

1. Internet of Things in Smart and Intelligent Healthcare Systems 2. Applications of i-IoT for Smart Healthcare Systems 3. Technological Shift of the Healthcare System Using IoT 4. IoT-Based Smart Healthcare Systems: Cloud Data Governance 5. Information Security and Data Management for IoT Smart Healthcare 6. AI-Assisted Big Data Analytics for Smart Healthcare Systems 7. Cloud Computing-Assisted Real-time Health Monitoring and Tracking 8. Supervision Of Worldwide Healthcare through An IoT-based System 9. Semantic Similarity Based on Association Measurement 10. IoT: Emerging Approach for Pharmaceutical and Healthcare Systems 11. Blockchain Technology Effects on Healthcare Systems Using the IoT 12. Deep Learning Approach for Classification of Alzheimer's Disease 13. Plant Disease Identification Using Convolution Neural Networks 14. Study of Health Quality Coinciding with the Handwriting Process 15. e-Nose Sensor Applications and Challenges in the Health Sector

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Durgesh Srivastava, Jabar H. Yousif

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