Medical Data Analysis and Processing using Explainable Artificial Intelligence (Paperback, 1)

1. Explainable AI (XAI) Concepts and Theory. 2. Introduction to XAI in Healthcare Application. 3. Machine Learning/Deep Learning Scalability Models in Healthcare System. 4. Explainable AI-based Electronic Health Records for Healthcare. 5. XAI Medical Data Exchanges and Data Interoperability. 6. XAI-based Remote Care for Medical Data Analysis. 7. Improving Patient Privacy and Security through XAI Models. 8. XAI for Sentiment and Emotion Analysis for Patients. 9. Linguistic Knowledge of Deep Neural Networks based on XAI. 10. Natural Language Processing and XAI on Medical Data Processing. 11. Knowledge Representation Methods on Medical Data using XAI. 12. XAI-based Trust and Interpretability in Classification. 13. Explainable Deep Bayesian Learning for Healthcare Applications. 14. XAI Methods for Medical Internet of Things (MIoT) Data. 15. Algorithms, Tools, Frameworks for Explainable AI on Medical Data. 16. Use cases and Future aspects of XAI in Medical Data Analysis.