Full Description
The text presents concepts of explainable artificial intelligence (XAI) in solving real world biomedical and healthcare problems. It will serve as an ideal reference text for graduate students and academic researchers in diverse fields of engineering including electrical, electronics and communication, computer, and biomedical
Presents explainable artificial intelligence (XAI) based machine analytics and deep learning in medical science
Discusses explainable artificial intelligence (XA)I with the Internet of Medical Things (IoMT) for healthcare applications
Covers algorithms, tools, and frameworks for explainable artificial intelligence on medical data
Explores the concepts of natural language processing and explainable artificial intelligence (XAI) on medical data processing
Discusses machine learning and deep learning scalability models in healthcare systems
This text focuses on data driven analysis and processing of advanced methods and techniques with the help of explainable artificial intelligence (XAI) algorithms. It covers machine learning, Internet of Things (IoT), and deep learning algorithms based on XAI techniques for medical data analysis and processing. The text will present different dimensions of XAI based computational intelligence applications. It will serve as an ideal reference text for graduate students and academic researchers in the fields of electrical engineering, electronics and communication engineering, computer engineering, and biomedical engineering.
Contents
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.
