Rules & model
Candidate selection and experimental model evaluation.
Neural classifier
The model uses recent monthly observations and summary features to learn heuristic labels. Its score ranks existing candidates.
The test measures agreement with draft rule labels, not real-world success. It does not yet demonstrate discovery of new case definitions.
