1 | Lecture 1: Introduction: What Makes Healthcare Unique? slides (PDF - 2.4MB) | Lecture 1 Notes (PDF) |
2 | Lecture 2: Overview of Clinical Care slides (PDF - 2.6MB) | Lecture 2 Notes (PDF) |
3 | Lecture 3: Deep Dive into Clinical Data slides (PDF - 2.1MB) | Lecture 3 Notes (PDF - 1.5MB) |
4 | Lecture 4: Risk Stratification, Part 1 slides (PDF - 1.2MB) | Lecture 4 Notes (PDF) |
5 | Lecture 5: Risk Stratification, Part 2 slides (PDF - 1.9MB) | Lecture 5 Notes (PDF) |
6 | Lecture 6: Physiological Time-Series slides (PDF - 1.4MB) | Lecture 6 Notes (PDF) |
7 | Lecture 7: Natural Language Processing (NLP), Part 1 slides (PDF - 1MB) | Lecture 7 Notes (PDF) |
8 | Lecture 8: Natural Language Processing (NLP), Part 2 slides (PDF - 2.0MB) | Lecture 8 Notes (PDF) |
9 | Lecture 9: Translating Technology into the Clinic slides (PDF) | Lecture 9 Notes (PDF) |
10 | Lecture 10: Machine Learning for Cardiology slides (PDF - 3.9MB) | Lecture 10 Notes (PDF - 1.3MB) |
11 | Lecture 11: Machine Learning for Differential Diagnosis slides (PDF - 1.9MB) | Lecture 11 Notes (PDF) |
12 | Lecture 12: Machine Learning for Pathology slides (PDF - 6.8MB) | Lecture 12 Notes (PDF) |
13 | Lecture 13: Machine Learning for Mammography slides (PDF - 2.2MB) | Lecture 13 Notes (PDF) |
14 | Lecture 14: Causal Inference, Part 1 slides (PDF - 2MB) | Lecture 14 Notes (PDF) |
15 | Lecture 15: Causal Inference, Part 2 slides (PDF) | Lecture 15 Notes (PDF) |
16 | Lecture 16: Reinforcement Learning slides (PDF) | Lecture 16 Notes (PDF) |
17 | Lecture 17: Evaluating Dynamic Treatment Strategies slides (PDF) | Lecture 17 Notes (PDF) |
18 | Lecture 18: Disease Progression & Subtyping, Part 1 slides (PDF) | Lecture 18 Notes (PDF) |
19 | Lecture 19: Disease Progression & Subtyping, Part 2 slides (PDF - 2.5MB) | Lecture 19 Notes (PDF) |
20 | Lecture 20: Precision Medicine slides (PDF - 1.6MB) | Lecture 20 Notes (PDF) |
21 | Lecture 21: Automating Clinical Workflows slides (PDF - 1.6MB) | Lecture 21 Notes (PDF) |
22 |
Lecture 22.1: Regulation of ML/AI in the US slides (PDF - 1.4MB) Lecture 22.2: Human Subjects Research slides (PDF)
| Lecture 22 Notes (PDF) |
23 | Lecture 23: Fairness slides (PDF - 1.5MB) | No provided notes |
24 | Lecture 24: Robustness to Dataset Shift slides (PDF - 2.2MB) | Lecture 24 Notes (PDF) |
25 | Lecture 25: Interpretability slides (PDF - 3.2MB) | No provided notes |
