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Uncertainty Aware Llm Deidentification and Anonymization of Clinical Notes

2026-03-19

Abstract excerpt

<title>Abstract</title> <p>The increasing demand for privacy-preserving access to clinical data has catalyzed the development of synthetic Protected Health Information (PHI) corpora for evaluating Named Entity Recognition (NER) systems. In this study, we introduce a large-scale, high-fidelity synthetic clinical note dataset generated via prompt-based interactions with a lightweight large language model (ChatGPT4-...

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Literature Corpus work
e7411222-4dae-5d6d-ab86-ea0f90b69d1f
DOI
10.21203/rs.3.rs-8959510/v1
Open publication

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Uncertainty Aware Llm Deidentification and Anonymization of Clinical NotesDOI 10.21203/rs.3.rs-8959510/v1
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