Handbook of AI-Based Models in Healthcare and Medicine: Approaches, Theories, and Applications [Hardcover]

This handbook provides thorough, in-depth, and well-focused developments of AI, ML, DL, NLP, cryptography, and Blockchain approaches along with their applications focused on healthcare systems.

This handbook provides thorough, in-depth, and well-focused developments of artificial intelligence (AI), machine learning (ML), deep learning (DL), natural language processing (NLP), cryptography, and blockchain approaches, along with their applications focused on healthcare systems.

Handbook of AI-Based Models in Healthcare and Medicine: Approaches, Theories, and Applications highlights different approaches, theories, and applications of intelligent systems from a practical as well as a theoretical view of the healthcare domain. It uses a medically oriented approach in its discussions of human biology, healthcare, and medicine and presents NLP-based medical reports and medicine enhancements. The handbook includes advanced models of ML and DL for the management of healthcare systems and also discusses blockchain-based healthcare management. In addition, the handbook offers use cases where AI, ML, and DL can help solve healthcare complications.

Undergraduate and postgraduate students, academicians, researchers, and industry professionals who have an interest in understanding the applications of ML/DL in the healthcare setting will want this reference on their bookshelf.

Chapter 1 Edge Computing in Healthcare: Concepts, Tools, Techniques, and Use Cases

Chapter 2 History and Role of AI in Healthcare and Medicine

Chapter 3 Drug Discovery Using Explainable AI Approaches: The Current Scenario

Chapter 4 Supervised Learning Models for Diagnosing Severity of Cirrhosis Disease

Chapter 5 3D Volumetric Computed Toml3$