【MIT干货课程】医疗健康领域的机器学习

本课程向学生介绍医疗健康领域的机器学习，包括临床数据的性质和机器学习在风险分层、疾病进展建模、精准医疗、诊断、亚型发现和改善临床工作流程方面的使用。

1	Lecture 1: Introduction: What Makes Healthcare Unique? slides (PDF - 2.4MB)
2	Lecture 2: Overview of Clinical Care slides (PDF - 2.6MB)
3	Lecture 3: Deep Dive into Clinical Data slides (PDF - 2.1MB)
4	Lecture 4: Risk Stratification, Part 1 slides (PDF - 1.2MB)
5	Lecture 5: Risk Stratification, Part 2 slides (PDF - 1.9MB)
6	Lecture 6: Physiological Time-Series slides (PDF - 1.4MB)
7	Lecture 7: Natural Language Processing (NLP), Part 1 slides (PDF - 1MB)
8	Lecture 8: Natural Language Processing (NLP), Part 2 slides (PDF - 2.0MB)
9	Lecture 9: Translating Technology into the Clinic slides (PDF)
10	Lecture 10: Machine Learning for Cardiology slides (PDF - 3.9MB)
11	Lecture 11: Machine Learning for Differential Diagnosis slides (PDF - 1.9MB)
12	Lecture 12: Machine Learning for Pathology slides (PDF - 6.8MB)
13	Lecture 13: Machine Learning for Mammography slides (PDF - 2.2MB)
14	Lecture 14: Causal Inference, Part 1 slides (PDF - 2MB)
15	Lecture 15: Causal Inference, Part 2 slides (PDF)
16	Lecture 16: Reinforcement Learning slides (PDF)
17	Lecture 17: Evaluating Dynamic Treatment Strategies slides (PDF)
18	Lecture 18: Disease Progression & Subtyping, Part 1 slides (PDF)
19	Lecture 19: Disease Progression & Subtyping, Part 2 slides (PDF - 2.5MB)
20	Lecture 20: Precision Medicine slides (PDF - 1.6MB)
21	Lecture 21: Automating Clinical Workflows slides (PDF - 1.6MB)
22	Lecture 22.1: Regulation of ML/AI in the US slides (PDF - 1.4MB) Lecture 22.2: Human Subjects Research slides (PDF)
23	Lecture 23: Fairness slides (PDF - 1.5MB)
24	Lecture 24: Robustness to Dataset Shift slides (PDF - 2.2MB)
25	Lecture 25: Interpretability slides (PDF - 3.2MB)

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