Papers by Nicolo Micheletti

1 papers
Generating Synthetic Free-text Medical Records with Low Re-identification Risk using Masked Language Modeling (2025.naacl-srw)

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Challenge: Existing methods to generate medical records using Causal Language Modelling are limited due to privacy concerns.
Approach: They propose a method for generating medical records using Masked Language Modelling using Causal language models.
Outcome: The proposed method produces high-quality synthetic data with a re-identification risk of only 3.5% and a patient recall of 96%.

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