Main description:

Includes case studies illustrating the business processes that underlines the use of big data and health analytics to improve healthcare delivery Discusses AI based smart paradigms for reliable predictions of infectious disease dynamics which can help or prevent disease transmission Highlights the different aspects of using extended reality for diverse healthcare applications and aggregates the current state of research Offers intelligent models of the smart recommender system for personal well-being services and computer-aided drug discovery and design methods Presents novel innovative techniques for extracting user social behavior known as sentiment analysis for healthcare related purposes

Contents:

1. Artificial Intelligence Challenges, Principles, and Applications in Smart Healthcare Systems. 2. Systematic View and Impact of Artificial Intelligence in Smart Healthcare Systems, principles, challenges and Applications. 3. Application of Machine Learning Techniques in COVID-19 Epidemiology: A Glimpse. 4. Automated Seven-Level Skin Cancer Staging Diagnosis in Dermoscopic images using Deep Learning. 5. Ensemble Classifier Based Predictive Model for Type-2 Diabetes Mellitus Prediction. 6. Machine Learning Approaches for Analysis in Smart Healthcare Informatics. 7. Smart Approaches for Diagnosis of Brain Disorders using Artificial Intelligence. 8. Bridging the Gap Between Technology and Medicine: Approaches of Artificial Intelligence in Healthcare. 9. Brain Tumor Classification using Transfer Learning. 10. Advanced Bayesian Estimation Of Weibull In Early Stage Eye Loss Prediction In Diabetic Retinopathy. 11. Automated Sleep Staging Using Single-Channel EEG SIgnal based on Machine Learning Approaches. 12. Machine Learning Based Intelligent Assistant for Smart Healthcare. 13. AI-Enabled Sentiment Analysis on COVID-19 Vaccination: A Twitter based study. 14. An Early Diagnosis of Lung Nodule Using CT Images based on Hybrid Machine Learning techniques. 15. Early Detection of Alzheimer's Disease Assisted by AI-Powered Human-Robot Communication.