Towards Fair and Efficient De-identification: Quantifying the Efficiency and Generalizability of De-identification Approaches

Noopur Zambare, Kiana Aghakasiri, Carissa Lin +3

Large language models (LLMs) have shown strong performance on clinical de-identification, the task of identifying sensitive identifiers to protect privacy. However, previous work h…