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Titel:

Announcement of the German Medical Text Corpus Project (GeMTeX).

Dokumenttyp:
Journal Article
Autor(en):
Meineke, Frank; Modersohn, Luise; Loeffler, Markus; Boeker, Martin
Abstract:
The largest publicly funded project to generate a German-language medical text corpus will start in mid-2023. GeMTeX comprises clinical texts from information systems of six university hospitals, which will be made accessible for NLP by annotation of entities and relations, which will be enhanced with additional meta-information. A strong governance provides a stable legal framework for the use of the corpus. State-of-the art NLP methods are used to build, pre-annotate and annotate the corpus an...     »
Zeitschriftentitel:
Stud Health Technol Inform
Jahr:
2023
Band / Volume:
302
Seitenangaben Beitrag:
835-836
Volltext / DOI:
doi:10.3233/SHTI230283
PubMed:
http://view.ncbi.nlm.nih.gov/pubmed/37203512
Print-ISSN:
0926-9630
TUM Einrichtung:
Lehrstuhl für Medizinische Informatik (Prof. Boeker)
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