Recitation 2: Bayes' Theorem, Differential Diagnosis, Evaluation Metrics
MIT
6.7930 / HST.956: Machine Learning for Healthcare
Graduate-level course covering machine learning methods applied to healthcare, including clinical NLP, causal inference, survival analysis, interpretability, fairness, and more. Lecture slides and course materials are available on the course website.
Below are some slides that may be useful:
Recitation 5: Missing Data, Survival Analysis
Recitation 6: Causal Inference
Recitation 8: Interpretability of ML Models
