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Efficiently and Thoroughly Anonymizing a Transformer Language Model for Dutch Electronic Health Records: a Two-Step Method
Adopting the fill-mask task where the model predicts what tokens are most probable in a certain context, it was tested how often the model will predict a name in a context where a name should be.
Modeling Dutch Medical Texts for Detecting Functional Categories and Levels of COVID-19 Patients
However, the language in these records is very different from standard language and generic natural language processing tools cannot easily be applied out-of-the-box.
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