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GraSCCo_PHI - Graz Synthetic Clinical text Corpus with Protected Health Information Annotations

Authors: Lohr, Christina; Matthies, Franz; Jakob, Faller; Modersohn, Luise; Riedel, Andrea; Hahn, Udo; Kiser, Rebekka; +2 Authors

GraSCCo_PHI - Graz Synthetic Clinical text Corpus with Protected Health Information Annotations

Abstract

GraSCCo_PHI - Graz Synthetic Clinical text Corpus with Protected Health Information Annotations GraSCCo is a collection of artificially generated semi-structured and unstructured German-language clinical summaries. These summaries are formulated as letters from the hospital to the patient's GP after in-patient or out-patient care. Details: Stefan Schulz. (2022). GraSCCo (Version v1) [Data set]. Zenodo. https://doi.org/10.5281/zenodo.6539131 Modersohn L, Schulz S, Lohr C, Hahn U. GRASCCO - The First Publicly Shareable, Multiply-Alienated German Clinical Text Corpus. Stud Health Technol Inform. 2022;296:66-72. doi:10.3233/SHTI220805 This is the GraSSCo with annotations of Proteced Health Information as an external source of Lohr C, Matthies F, Faller J, et al. De-Identifying GRASCCO - A Pilot Study for the De-Identification of the German Medical Text Project (GeMTeX) Corpus. Stud Health Technol Inform. 2024;317:171-179. doi:10.3233/SHTI240853 (https://pubmed.ncbi.nlm.nih.gov/39234720/) This repository contains the annotations in XMI and JSON exports created with the INCEpTION annotation platform (https://inception-project.github.io/), also the annotation guideline document, TypeSystem.xml and layer.json (needed for import in INCEpTION).

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average