AIoT Innovations in Digital Health : Emerging Trends, Challenges, and Solutions (Hardcover)

1. Sentiment Analysis of Users Tweets for Polarity Opinions Detection Using Deep Learning for Health Care Service. 2. Non-Sorted Genetic Algorithm & Logistic Regression (NSGA-LR) for Prediction of Heart Diseases. 3. An Intelligent Hybrid Blockchain Mechanism for IoT-based Healthcare Applications in Blood Cancer Recurrence Detection. 4. Comprehensive Solution for The Management of Chronic Kidney Disease: Application of IoT-assisted technology. 5. Privacy and Security Aspects of AI Related to IOT in Healthcare Industry: Methods, Tools, Applications, Open
Challenges. 6. Ontology based experts system for lung cancer disease diagnosis. 7. Identification of Brain Tumors in MRI Images Using Artificial Intelligence of Things. 8. Transformative Insights: Image-based Breast Cancer Detection and Severity Assessment through Advanced AI Techniques. 9. Cognitive Machine Learning-based Intrusion Detection System for Identification of Life-Threatening Diseases.