playlistduration

MIT 6.S897 Machine Learning for Healthcare, Spring 2019

by MIT OpenCourseWare · 25 videos

Total watch time

1d 7h 14m

at 1× speed · exactly 1 day, 7 hours, 13 minutes, 57 seconds at 1×

1×1d 7h 13m 57s
1.25×1d 59m 10s
1.5×20h 49m 18s
1.75×17h 50m 50s
2×15h 36m 59s
Average video1h 14m 57s
Longest1h 24m 51s
Shortest41m 15s
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About 32 days at an hour a day

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At one hour a day, every day, this playlist takes about 32 days. Turn on JavaScript to plan around your week.

Videos (25)

1d 7h 14m in total · tick what you've watched

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Videos to
Watched
1 1. What Makes Healthcare Unique? 1:10:42 2020-10-22
2 2. Overview of Clinical Care 1:20:08 2020-10-22
3 3. Deep Dive Into Clinical Data 1:23:27 2020-10-22
4 4. Risk Stratification, Part 1 1:12:45 2020-10-22
5 5. Risk Stratification, Part 2 1:20:08 2020-10-22
6 6. Physiological Time-Series 1:21:01 2020-10-22
7 7. Natural Language Processing (NLP), Part 1 1:15:38 2020-10-22
8 8. Natural Language Processing (NLP), Part 2 1:23:24 2020-10-22
9 9. Translating Technology Into the Clinic 1:22:46 2020-10-22
10 10. Application of Machine Learning to Cardiac Imaging 1:21:23 2020-10-22
11 11. Differential Diagnosis 1:20:16 2020-10-22
12 12. Machine Learning for Pathology 55:34 2020-10-22
13 13. Machine Learning for Mammography 41:15 2020-10-22
14 14. Causal Inference, Part 1 1:18:43 2020-10-22
15 15. Causal Inference, Part 2 1:02:17 2020-10-22
16 16. Reinforcement Learning, Part 1 1:17:08 2020-10-22
17 17. Reinforcement Learning, Part 2 55:13 2020-10-22
18 18. Disease Progression Modeling and Subtyping, Part 1 1:21:11 2020-10-22
19 19. Disease Progression Modeling and Subtyping, Part 2 1:12:29 2020-10-22
20 20. Precision Medicine 1:24:51 2020-10-22
21 21. Automating Clinical Work Flows 1:20:27 2020-10-22
22 22. Regulation of Machine Learning / Artificial Intelligence in the US 1:21:18 2020-10-22
23 23. Fairness 1:17:55 2020-10-22
24 24. Robustness to Dataset Shift 1:15:16 2021-07-09
25 25. Interpretability 1:18:42 2020-10-22

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Watch time: 1d 7h 14m · 25 videos

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