Papers by Nicolo Micheletti
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%. |