Harvard’s Data Science for Medical Decision Making course uses Posit Cloud to conduct investigations and discover new associations between disease and health. Students are introduced to statistical decision theory and how modern data science and machine learning approaches can help improve medical decision-making.
The course takes students through critical readings in the field and gives them the experience of analyzing the data from those papers to understand how the data is processed and might impact medical decision making.
Taking heart disease risk scores for example:
- What are the variables that are input into the model and why?
- What statistical techniques are used to estimate the risk scores?
- What happens if you adjust, or “tweak” the input variables and how might it influence a decision?