Machine Learning for Health

Schedule

Jump to Feb. or Mar.

Date Subject Readings Student Presentation Deadlines
Jan 10, 2019 Lecture 1: Why is healthcare unique?
Slides
Jan 17, 2019 Lecture 2: Supervised Learning for Classification, Risk Scores and Survival
  • Grey Kuling on Big Data In Health Care: Using Analytics To Identify And Manage High-Risk And High-Cost Patients
Reflection Questions on Required Papers:
  • Contrast the predictive tasks (e.g., labels in the objective function) in each of the required papers; what are the benefits and drawbacks of each?
  • Would you deploy any of these supervised models?
Jan 24, 2019 Lecture 3: Causal inference with observational data
Jan 31, 2019 Lecture 4: Fairness, Ethics, and Healthcare
Feb 7, 2019 Lecture 5: Clinical Time Series Modelling Homework 1 due at 11:59 PM on MarkUs
The code for extracting the data from the MIMIC psql database is here
Feb 14, 2019 Lecture 6: Clinical Imaging (Radiology/Pathology)> Project proposals due at 5PM here.
Feb 21, 2019 Lecture 7: Clinical NLP and Audio
Feb 28, 2019 Lecture 8: Clinical Reinforcement Learning
Mar 7, 2019 Lecture 9: Missingness and Representations
Mar 14, 2019 Lecture 10: Generalization and transfer learning
Mar 21, 2019 Lecture 11: Interpretability / Humans-In-The-Loop / Policies and Politics
Mar 28, 2019 Course Presentations
April 4, 2019 Course Presentations Project report due 11:59PM