From Clinical Free Text to Auditable Concepts: An Agentic Framework for Interpretable Prediction
An agentic workflow that takes a prediction task and a raw text corpus as input and produces an auditable feature layer that achieves predictive performance comparable to direct BioClinicalBERT prediction on both tasks while additionally providing explicit, interpretable, and traceable task-specific concepts.