Exploratory Data Analytics for Healthcare (Paperback, 1)

Chapter 1. Visual Analytics: Scopes & Challenges. Chapter 2. Statistical Methods and Applications: A Comprehensive Reference for the Healthcare Industry. Chapter 3. Machine Learning Algorithms for Healthcare Data Analytics. Chapter 4. A Review of Challenges and Opportunities in Machine Learning for Healthcare. Chapter 5. Digitalizing the Health Records Using Machine Learning Algorithms. Chapter 6. Interactive Visualization for Understanding and Analyzing Medical Data. Chapter 7. Heart Disease Prediction Using Tableau. Chapter 8. A Deep Learning Framework Using AlexNet for Early Detection of Pancreatic Cancer. Chapter 9. Applications of the Map-Reduce Programming Framework to Clinical Big Data Analysis: Current Landscape and Future Trends. Chapter 10. An Investigation of Different Machine Learning Approaches for Healthcare Analytics. Chapter 11. The Potential of Machine Learning  for Clinical Predictive Analytics. Chapter 12. Predictive Analytics in Healthcare Using Machine Learning Tools and Techniques. Chapter 13. A Collective Study of Machine Learning (ML) Algorithms and Its Impact on Various Facets of Healthcare.