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Table of contents
1. Introduction
1.1 Background
1.2 Problem Analysis Context
1.3 Objectives and Research Questions
1.4 Research Scope
1.5 Approach
1.6 Structure
2. State-of-the-Art
2.1 Clinical Practice Guidelines and their transition to Computer Interpretable Guidelines
2.2 Clinical Decision Support Systems
2.3 Limits of guideline compliance
2.4 Rating the Strength of Recommendation and Quality of Evidence of CPGs
2.5 Visual analytics in healthcare
2.6 Conclusions
3. Research Design Approach
3.1 Research Design Concepts
3.1.1 Clinical Knowledge Formalization
3.1.2 CIG Formalization Module
3.1.3 Ontology-based semantic validation
3.2 Methodology for an evolutive CDSS
3.2.1 Domain-independent CIG formalization
3.2.2 Authoring tool
3.2.3 Augmenting the clinical knowledge using experience
3.3 Visual Analytics
3.3.1 Decisional Events visualization
3.3.2 Real-World Data visualization
4. Use Case: Breast Cancer
4.1 Breast Cancer Knowledge Model (BCKM)
4.2 Breast Cancer Clinical Practice Guidelines
4.3 Non-compliance criteria definition
4.4 Breast cancer outcomes
4.5 Interaction of the guideline-based CDSS and the experience-based CDSS within DESIREE project
5. Validation
5.1 Technical Assessment
5.1.1 Unit test design and implementation
5.1.2 Integration test design and implementation
5.2 Clinical assessment
5.2.1 Experience generation from retrospective data in simulated BUs
5.2.2 Performance and clinical validation with prospective data in real BUs
6. Conclusions
7. Research contributions
7.1 International Conferences
7.2 Journals
7.3 Awards
7.4 Intellectual Property
8. Discussion and Future research
