Ashwin presented
Reviewed the NLP approach to date.
Showed the distinctions made based on terms of varying specificity. The NLP processing increased the accuracy as expected but probably by only 10% relative to the codified data. However the codified data alone had much less stable performance, probably because those are easier to overfit to local billing practice and demographics of the underlying hospital population.
Also reviewed when to start sample collection.
