1 |
Lecture 1: What Makes Healthcare Unique? (M-I-T)
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Machine Learning for Healthcare (Spring 2019) (M-I-T)
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MIT
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Prof. Dr. Peter Szolovits, Prof. Dr. David Sontag
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Applied Sciences
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2 |
Lecture 2: Overview of Clinical Care (M-I-T)
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Machine Learning for Healthcare (Spring 2019) (M-I-T)
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MIT
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Prof. Dr. Peter Szolovits, Prof. Dr. David Sontag
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Applied Sciences
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3 |
Lecture 3: Deep Dive Into Clinical Data (M-I-T)
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Machine Learning for Healthcare (Spring 2019) (M-I-T)
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MIT
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Prof. Dr. Peter Szolovits, Prof. Dr. David Sontag
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Applied Sciences
|
4 |
Lecture 4: Risk Stratification, Part 1 (M-I-T)
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Machine Learning for Healthcare (Spring 2019) (M-I-T)
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MIT
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Prof. Dr. Peter Szolovits, Prof. Dr. David Sontag
|
Applied Sciences
|
5 |
Lecture 5: Risk Stratification, Part 2 (M-I-T)
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Machine Learning for Healthcare (Spring 2019) (M-I-T)
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MIT
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Prof. Dr. Peter Szolovits, Prof. Dr. David Sontag
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Applied Sciences
|
6 |
Lecture 6: Physiological Time-Series (M-I-T)
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Machine Learning for Healthcare (Spring 2019) (M-I-T)
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MIT
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Prof. Dr. Peter Szolovits, Prof. Dr. David Sontag
|
Applied Sciences
|
7 |
Lecture 7: Natural Language Processing (NLP), Part 1 (M-I-T)
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Machine Learning for Healthcare (Spring 2019) (M-I-T)
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MIT
|
Prof. Dr. Peter Szolovits, Prof. Dr. David Sontag
|
Applied Sciences
|
8 |
Lecture 8: Natural Language Processing (NLP), Part 2 (M-I-T)
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Machine Learning for Healthcare (Spring 2019) (M-I-T)
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MIT
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Prof. Dr. Peter Szolovits, Prof. Dr. David Sontag
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Applied Sciences
|
9 |
Lecture 9: Translating Technology Into the Clinic (M-I-T)
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Machine Learning for Healthcare (Spring 2019) (M-I-T)
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MIT
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Prof. Dr. Peter Szolovits, Prof. Dr. David Sontag
|
Applied Sciences
|
10 |
Lecture 10: Application of Machine Learning to Cardiac Imaging (M-I-T)
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Machine Learning for Healthcare (Spring 2019) (M-I-T)
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MIT
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Prof. Dr. Peter Szolovits, Prof. Dr. David Sontag
|
Applied Sciences
|
11 |
Lecture 11: Differential Diagnosis (M-I-T)
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Machine Learning for Healthcare (Spring 2019) (M-I-T)
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MIT
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Prof. Dr. Peter Szolovits, Prof. Dr. David Sontag
|
Applied Sciences
|
12 |
Lecture 12: Machine Learning for Pathology (M-I-T)
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Machine Learning for Healthcare (Spring 2019) (M-I-T)
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MIT
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Prof. Dr. Peter Szolovits, Prof. Dr. David Sontag
|
Applied Sciences
|
13 |
Lecture 13: Machine Learning for Mammography (M-I-T)
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Machine Learning for Healthcare (Spring 2019) (M-I-T)
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MIT
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Prof. Dr. Peter Szolovits, Prof. Dr. David Sontag
|
Applied Sciences
|
14 |
Lecture 14: Causal Inference, Part 1 (M-I-T)
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Machine Learning for Healthcare (Spring 2019) (M-I-T)
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MIT
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Prof. Dr. Peter Szolovits, Prof. Dr. David Sontag
|
Applied Sciences
|
15 |
Lecture 15: Causal Inference, Part 2 (M-I-T)
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Machine Learning for Healthcare (Spring 2019) (M-I-T)
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MIT
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Prof. Dr. Peter Szolovits, Prof. Dr. David Sontag
|
Applied Sciences
|
16 |
Lecture 16: Reinforcement Learning, Part 1 (M-I-T)
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Machine Learning for Healthcare (Spring 2019) (M-I-T)
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MIT
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Prof. Dr. Peter Szolovits, Prof. Dr. David Sontag
|
Applied Sciences
|
17 |
Lecture 17: Reinforcement Learning, Part 2 (M-I-T)
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Machine Learning for Healthcare (Spring 2019) (M-I-T)
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MIT
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Prof. Dr. Peter Szolovits, Prof. Dr. David Sontag
|
Applied Sciences
|
18 |
Lecture 18: Disease Progression Modeling and Subtyping, Part 1 (M-I-T)
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Machine Learning for Healthcare (Spring 2019) (M-I-T)
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MIT
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Prof. Dr. Peter Szolovits, Prof. Dr. David Sontag
|
Applied Sciences
|
19 |
Lecture 19: Disease Progression Modeling and Subtyping, Part 2 (M-I-T)
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Machine Learning for Healthcare (Spring 2019) (M-I-T)
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MIT
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Prof. Dr. Peter Szolovits, Prof. Dr. David Sontag
|
Applied Sciences
|
20 |
Lecture 20: Precision Medicine (M-I-T)
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Machine Learning for Healthcare (Spring 2019) (M-I-T)
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MIT
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Prof. Dr. Peter Szolovits, Prof. Dr. David Sontag
|
Applied Sciences
|
21 |
Lecture 21: Automating Clinical Work Flows (M-I-T)
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Machine Learning for Healthcare (Spring 2019) (M-I-T)
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MIT
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Prof. Dr. Peter Szolovits, Prof. Dr. David Sontag
|
Applied Sciences
|
22 |
Lecture 22: Regulation of Machine Learning / Artificial Intelligence in the US (M-I-T)
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Machine Learning for Healthcare (Spring 2019) (M-I-T)
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MIT
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Prof. Dr. Peter Szolovits, Prof. Dr. David Sontag
|
Applied Sciences
|
23 |
Lecture 23: Fairness (M-I-T)
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Machine Learning for Healthcare (Spring 2019) (M-I-T)
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MIT
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Prof. Dr. Peter Szolovits, Prof. Dr. David Sontag
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Applied Sciences
|
24 |
Lecture 24: Robustness to Dataset Shift (M-I-T)
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Machine Learning for Healthcare (Spring 2019) (M-I-T)
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MIT
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Prof. Dr. Peter Szolovits, Prof. Dr. David Sontag
|
Applied Sciences
|
25 |
Lecture 25: Interpretability (M-I-T)
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Machine Learning for Healthcare (Spring 2019) (M-I-T)
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MIT
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Prof. Dr. Peter Szolovits, Prof. Dr. David Sontag
|
Applied Sciences
|