De-Identifying GRASCCO – A Pilot Study for the De-Identification of the German Medical Text Project (GeMTeX) Corpus

These curated 1.4 K PHI annotations are released as open-source data constituting the first publicly available German clinical language text corpus with PHI metadata.

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Publication Details

Journal
Studies in health technology and informatics
Published
2024-08-30
DOI
https://doi.org/10.3233/shti240853
Primary Topic
Natural Language Processing Techniques
Type
article
Field-Weighted Citation Impact
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article

De-Identifying GRASCCO – A Pilot Study for the De-Identification of the German Medical Text Project (GeMTeX) Corpus

Andrea Riedel, Luise Modersohn, R. Taft Kiser, Martin Boeker et al.
Studies in health technology and informatics
Natural Language Processing Techniques
article

De-Identifying GRASCCO – A Pilot Study for the De-Identification of the German Medical Text Project (GeMTeX) Corpus

Andrea Riedel, Luise Modersohn, R. Taft Kiser, Martin Boeker, Christina Lohr, Frank Meineke, Udo Hahn, Franz Matthies, Jakob Faller
article en

Abstract

These curated 1.4 K PHI annotations are released as open-source data constituting the first publicly available German clinical language text corpus with PHI metadata.

Studies in health technology and informaticsVol. 317
Friedrich-Alexander-Universität Erlangen-Nürnberg (DE), Universitätsklinikum Erlangen (DE), Leipzig University (DE)
Industry, innovation and infrastructure
Openalex Percentile: Top 68%
Natural Language Processing Techniques
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