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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 31–40 of 174 papers

TitleStatusHype
Benchmarking Modern Named Entity Recognition Techniques for Free-text Health Record De-identification—0
Automatic end-to-end De-identification: Is high accuracy the only metric?—0
An Overview of AI and Blockchain Integration for Privacy-Preserving—0
Deep Learning Architecture for Patient Data De-identification in Clinical Records—0
An Easy-to-use and Robust Approach for the Differentially Private De-Identification of Clinical Textual Documents—0
Augmenting a De-identification System for Swedish Clinical Text Using Open Resources and Deep Learning—0
A Context-Enhanced De-identification System—0
Audio De-identification - a New Entity Recognition Task—0
Cross-Clinic De-Identification of Swedish Electronic Health Records: Nuances and Caveats—0
Audio De-identification: A New Entity Recognition Task—0
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