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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 161–170 of 174 papers

TitleStatusHype
Using routinely collected patient data to support clinical trials research in accountable care organizations—0
Privacy-Protective-GAN for Face De-identification—0
Natural Language Generation for Electronic Health RecordsCode0
Towards the Creation of a Large Corpus of Synthetically-Identified Clinical Notes—0
De-identification of medical records using conditional random fields and long short-term memory networks—0
Plausible Deniability for Privacy-Preserving Data Synthesis—0
Transfer Learning for Named-Entity Recognition with Neural Networks—0
De-identification In practice—0
Detection of Text Reuse in French Medical Corpora—0
Deep Learning Architecture for Patient Data De-identification in Clinical Records—0
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