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Practical Artificial Intelligence for Internet of Medical Things: Emerging Trends, Issues, and Challenges

Practical Artificial Intelligence for Internet of Medical Things

Emerging Trends, Issues, and Challenges
 
Edition number: 1
Publisher: CRC Press
Date of Publication:
 
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Product details:
ISBN13:9781032325279
ISBN10:1032325275
Binding:Hardback
No. of pages:346 pages
Size:234x156 mm
Weight:800 g
Language:English
Illustrations: 133 Illustrations, black & white; 42 Halftones, black & white; 91 Line drawings, black & white; 52 Tables, black & white
591
Category:
Short description:

This book covers the fundamentals, applications, algorithms, protocols, emerging trends, problems, and research findings in the field of AI and IoT in smart healthcare. It includes working examples, case studies, implementation and management of smart healthcare systems using AI.

Long description:

This book covers the fundamentals, applications, algorithms, protocols, emerging trends, problems, and research findings in the field of AI and IoT in smart healthcare. It includes case studies, implementation and management of smart healthcare systems using AI. Chapters focus on AI applications in Internet of Healthcare Things, provide working examples on how different types of healthcare data can be used to develop models and predict diseases using machine learning and AI, with the real-world examples. This book is aimed at Researchers and graduate students in Computer Engineering, Artificial Intelligence and Machine Learning, Biomedical Engineering, and Bioinformatics.


Features:



  • Focus on the Internet of Healthcare Things and innovative solutions developed for use in the application of healthcare services

  • Discusses artificial intelligence applications, experiments, core concepts, and cutting-edge themes

  • Demonstrates new approaches to analyzing medical data and identifying ailments using AI to improve overall quality of life

  • Introduces fundamental concepts for designing the Internet of Healthcare Things solutions

  • Includes pertinent case studies and applications

This book is aimed at researchers and graduate students in Computer Engineering, Artificial Intelligence and Machine Learning, Biomedical Engineering, and Bioinformatics.

Table of Contents:

1. IoT-based Telemedicine Network Design: Implementation of a Smart Health Monitoring System in COVID-19. 2. Detection and Evaluation of Operational Limitations of Internet Infrastructure of Critical Systems Based on the Internet of Medical Things in Smart Homes. 3. Fitness Dependent Optimizer for IoT Healthcare using Adapted Parameters: A Case Study Implementation. 4. Digital Disruption in The Indian Healthcare System. 5. Smart Health Care Monitoring System Using LoRaWAN IoT  and Machine Learning methods. 6. Light deep CNN approach for multi-label pathology classification using frontal chest x-ray. 7. Trends in Malware Detection in IoHT using Deep Learning: A Review. 8. IoT Based Wrist Attitude Sensor Data for Parkinson?s disease Assessment for Healthcare System. 9. Robotics and the Internet of Health Things to Improve Healthcare: especially during the COVID-19 pandemic. 10. Artificial intelligence at the service of the detection of covid-19. 11. Monitoring ECG Signals using E-Health Sensors and Filtering Methods for Noisy. 12. Artificial Intelligence-Enabled Wearable ECG for Elderly Patients. 13. Diagnosing of Disease Using Machine Learning in Internet of Healthcare Things. 14. Heart Attack Risk Predictor using Machine Learning & Proposed IoT based Smart Watch Drone Healthcare system. 15. Thermal face image re-identification based on Variational Autoencoder, Cascade Object Detector using Lightweight architectures. 16. IOT Based Label Distribution Learning Mechanism for Autism Spectrum Disorder for Healthcare Application.