| Lecture 1 |
Sept 17 (Thur) |
Course introduction: why machine learning in healthcare? |
BIODS388_Lecture_1.pdf |
| Session |
Sept 18 (Fri) |
Project partner finding session (for students taking 3 units) |
|
| Lecture 2 |
Sept 24 (Thur) |
Machine learning framework: terms, definitions, and jargon |
BIODS388_Lecture_2.pdf |
| Lecture 3 |
Oct 1 (Thur) |
Supervised machine learning and traditional approaches |
BIODS388_Lecture_3.pdf |
| Assignment |
Oct 7 (Wed) |
Due: Scientific paper review 1 |
|
| Lecture 4 |
Oct 8 (Thur) |
Fundamentals of deep learning and neural networks |
BIODS388_Lecture_4.pdf |
| Project |
Oct 9 (Fri) |
Due: Project Proposal |
|
| Guest lecture |
Oct 12 (Mon) |
Strategies for Interdisciplinary Projects in AI and Healthcare |
|
| Lecture 5 |
Oct 15 (Thur) |
Common neural network architectures for different clinical applications |
BIODS388_Lecture_5.pdf |
| Lecture 6 |
Oct 22 (Thur) |
Evaluation metrics for machine learning in healthcare |
BIODS388_Lecture_6.pdf |
| Assignment |
Oct 28 (Wed) |
Due: Scientific paper review 2 |
|
| Lecture 7 |
Oct 29 (Thur) |
Strategies, challenges, and the black box |
BIODS388_Lecture_7.pdf |
| Project |
Oct 30 (Fri) |
Due: Project Milestone |
|
| Lecture 8 |
Nov 5 (Thur) |
Data considerations for clinical machine learning |
BIODS388_Lecture_8.pdf |
| Lecture 9 |
Nov 12 (Thur) |
Team-based design and evaluation of clinical machine learning applications |
BIODS388_Lecture_9.pdf |
| Project |
Nov 18 (Wed) |
Due: Project Report |
|
| Presentations |
Nov 18 (Wed) |
Project Presentations with BIODS220 |
|
| Lecture 10 |
Nov 19 (Thur) |
Course conclusion: the future of clinical work in the era of machine learning |
BIODS388_Lecture_10.pdf |