Machine Learning for Healthcare
1. What Makes Healthcare Unique?
2. Overview of Clinical Care
3. Deep Dive Into Clinical Data
4. Risk Stratification
5. Physiological Time Series
6. Natural Language Processing
7. Translating Technology Into the Clinic
8. Application of Machine Learning to Cardiac Imaging
9. Differential Diagnosis
10. Machine Learning for Pathology
11. Machine Learning for Mammography
12. Causal Inference
13. Reinforcement Learning
14. Disease Progression Modeling and Subtyping
15. Precision Medicine
16. Automating Clinical Work Flows
17. Regulation of Machine Learning / Artificial Intelligence in the US
18. Fairness
19. Robustness to Dataset Shift
20. Interpretability