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Explainable Artificial Intelligence in Healthcare Systems by A. Anitha Kamaraj is a nonfiction available to read on EtoBox.

What is Explainable Artificial Intelligence in Healthcare Systems about?

Contents Preface Acknowledgements Section 1. Primitive Concepts under Explainable AI Chapter 1 XAI in Healthcare: Black Box to Interpretable Models Abstract 1.1 Introduction 1.2 Significance of XAI 1.3 Motivation for Applying XAI in Health Care 1.4 Advantages in Healthcare 1.5 XAI Methods 1.6 Commonly Used XAI Methods 1.7 Interprétable Machine Learning Model 1.8 Comparative Study of Four Models 1.9 Applications of XAI 1.10 Limitations of XAI and Future Developments and Trends 1.11 Conclusion References Chapter 2 Healthcare XAI: A Systematic Study Abstract 2.1 Introduction 2.2 Framework from Machine Learning to XAI Model-Specific vs Model-Agnostic Global Methods vs Local Methods Before-Modelling vs During-Modelling vs After-Modelling Surrogate Techniques vs Visualization Techniques 2.3 Knowledge Representation of XAI 2.4 Interpretability and Explainability Interpretability Explainability Importance of Interpretability and Explainability Interpretability vs Explainability 2.5 XAI Approaches and Analysis in Sustainable Smart Healthcare Informatics 2.6 Role of AI 2.7 XAI Approaches 2.8 On Federated Learning and the Role of Federated Learning with XAI in Health Sector 2.9 Threats of

Who reads Explainable Artificial Intelligence in Healthcare Systems?

Author

A. Anitha Kamaraj

Publisher

Nova Science Publishers, Incorporated

Published

2024

Language

EN

ISBN

9798891135987

Category

nonfiction