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De-identification

De-identification is the task of detecting privacy-related entities in text, such as person names, emails and contact data.

Papers

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Showing 101–110 of 174 papers

TitleStatusHype
rx-anon -- A Novel Approach on the De-Identification of Heterogeneous Data based on a Modified Mondrian Algorithm—0
Creating and Evaluating a Synthetic Norwegian Clinical Corpus for De-Identification—0
HB Deid - HB De-identification tool demonstrator—0
Applying and Sharing pre-trained BERT-models for Named Entity Recognition and Classification in Swedish Electronic Patient Records—0
Benchmarking Modern Named Entity Recognition Techniques for Free-text Health Record De-identification—0
Differentially Private Imaging via Latent Space Manipulation—0
IdentityDP: Differential Private Identification Protection for Face Images—0
Performance of Automatic De-identification Across Different Note Types—0
A Context-Enhanced De-identification System—0
Transferability of Neural Network Clinical De-identification Systems—0
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