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Table of Contents
Chapter 1: Introduction
1.1 Background of the Study
1.2 Statement of the Problem
1.3 Objectives of the Study
1.4 Significance of the Study
1.5 Research Questions
1.6 Scope of the Study
1.7 Limitations of the Study
Chapter 2: Literature Review
2.1 Introduction to Explainable AI
2.2 AI in Healthcare Decision Support
2.3 Importance of Explainable AI in Healthcare
2.4 Previous Studies on Explainable AI for Healthcare Decision Support
Chapter 3: Research Methodology
3.1 Research Design
3.2 Data Collection Methods
3.3 Data Analysis Techniques
3.4 Study Population
3.5 Sampling Techniques
Chapter 4: Discussion of Findings
4.1 Overview of Findings
4.2 Implications of Findings
4.3 Comparison with Existing Literature
4.4 Recommendations for Future Research
Chapter 5: Conclusion and Summary
5.1 Summary of Findings
5.2 Conclusion
5.3 Contributions to Knowledge
5.4 Practical Implications
5.5 Recommendations for Healthcare Professionals
Brief Overview:
The thesis on Explainable AI for healthcare decision support aims to explore the use of explainable AI in healthcare to provide decision support to healthcare professionals. The introduction sets the stage by providing background information on AI in healthcare and the importance of explainability in AI systems. The research questions are formulated to guide the study, and the scope and limitations of the study are outlined.
The literature review delves into the concepts of explainable AI and its relevance in healthcare decision support. Previous studies on the topic are reviewed to provide a comprehensive understanding of the subject.
The research methodology section details the research design, data collection methods, and analysis techniques used in the study. The study population and sampling techniques are also described.
The discussion of findings section presents an overview of the results, their implications, and a comparison with existing literature. Recommendations for future research are provided based on the findings.
The conclusion and summary section summarizes the key findings of the study, concludes on the research questions, and highlights the contributions to knowledge and practical implications of the study. Recommendations are also made for healthcare professionals to leverage explainable AI for decision support in healthcare.
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