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The Impact of De-identification on Downstream Named Entity Recognition in Clinical Text
The impact of de-identification on data quality and, in particular, utility for developing models for downstream tasks has been more thoroughly studied for structured data than for unstructured text.
HB Deid - HB De-identification tool demonstrator
This paper describes a freely available web-based demonstrator called HB Deid.
A Semi-supervised Approach for De-identification of Swedish Clinical Text
An abundance of electronic health records (EHR) is produced every day within healthcare.
Building a De-identification System for Real Swedish Clinical Text Using Pseudonymised Clinical Text
This article presents experiments with pseudonymised Swedish clinical text used as training data to de-identify real clinical text with the future aim to transfer non-sensitive training data to other hospitals.
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