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Ben's Weekly Updates
January 10th
Completed
Explored some potential rotation projects and met with team members (Jason, Ethan, and Mars). Potential Projects:
(Scotty) Poking at explainability. The hypothesis is that people will make up a story even if there isn't one and explainability in the affirmative is not helpful. Rather, it should be used in the negative. Run an experiment with something along the lines of ask expert to explain model (using SHAP), rebuild model after some permutation to the data (TBD on details), and ask expert to again explain model.
(Jason) Change CLMBR pretraining objective to masked language modeling and an autoregressive fine-tuning/adaption stage.
(Unknown) On potential rotation projects document, there is “predict who does not need a Chest CT (for PE)?” Has this project been worked on? I don't know the clinical workflow for PE, what data would be used before CT?
Started onboarding
TODO
Finish onboarding
Write summary of 2 work streams
Get access to data section
Choose topic area and specific rotation project and jump in!
I will start explainability project
Compile list of literature
Paragraphs on the hypothesis/problem and why it matters
Start designing experiment
Begin finding application area and experts