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Stig Hellemans

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#machine learning Preprint Sep 2026

MedDeID enables locally governed clinical-text de-identification from real or synthetic training data

MedDeID, an on-premises framework combining in-house annotation and synthetic-note generation with model training, inference, pseudonymisation and evaluation, provides a route to locally governed de-identification using real or synthetic training data.

Stig Hellemans, T. Stroobants, E. Scheurwegs et al. · 0 citations