Excerpt
Table of Contents
Abstract
Keywords
1. Introduction
1.1 Purpose Statement and Research Questions
1.2 Topic Justification
1.3 Scope and Limitations
1.4 Definition of Big Data
1.4.1 Healthcare Big Data Sources
1.4.2 Techniques and tools to analyze Healthcare Big Data
1.4.3 Application of Big Data in Healthcare
2. Methodology
2.1 Methodological Tradition
2.2 Methodological Approach
2.3 Data Collection
2.4 Methodology Applied for literature review.
2.4.1 Inclusion and Exclusion Criteria
2.4.2 Search Procedures
2.4.3 Methods for Data Analysis
2.4.4. Validity, Reliability and Generalizability
2.4.5 Ethical Considerations
3. Results
3.1 Cardiology
3.2 Results from Comprehensive Literature Review.
3.2.1 Prevention
3.2.2 Prediction
3.2.3 Management of Disease
3.2.4 Future Trends and Directions
3.2.5 Challenges
3.3 Results from Qualitative Interviews
3.3.1 Theme 1
3.3.2 Theme 2
3.3.3 Theme 3
3.3.4 Theme 4
3.3.5 Theme 5
3.3.6 Theme 6
4. Discussion
4.1 Part 1
4.2 Part 2
4.3 Part 3
4.4 Part 4
5. Conclusion
6. References
- Quote paper
- Bikal Dhungel (Author), 2020, Big Data in Cardiology. Predicting, Preventing and Managing Diseases, Munich, GRIN Verlag, https://www.grin.com/document/920382
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