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

Focuses 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 analysing 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


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.


PRODUCT DETAILS

ISBN-13: 9781032325279
Publisher: Taylor & Francis
Publication date: February, 2023
Pages: 376
Weight: 798g
Availability: Available
Subcategories: Biomedical Engineering, General Issues

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