We introduce 3000PA, a clinical document corpus composed of 3,000 EPRs from three different clinical sites, which will serve as the backbone of a national reference language resource for German clinical NLP. We outline its design principles, results from a medication annotation campaign and the evaluation of a first medication information extraction prototype using a subset of 3000PA.
PubMed ID: 29677916
DOI: 10.3233/978-1-61499-852-5-26
Projects: SMITH - Smart Medical Information Technology for Healthcare
Publication type: InProceedings
Journal: Stud Health Technol Inform
Book Title: Volume 247: Building Continents of Knowledge in Oceans of Data: The Future of Co-Created eHealth
Editors: Udo Hahn, Franz Matthies, Christina Lohr, Markus Löffler
Publisher: Studies in Health Technology and Informatics
Human Diseases: No Human Disease specified
Citation: Hahn U, Matthies F, Lohr C, Löffler M. 3000PA-Towards a National Reference Corpus of German Clinical Language. Stud Health Technol Inform. 2018;247:26-30. PMID: 29677916.
Date Published: 24th Apr 2018
URL: http://ebooks.iospress.nl/publication/48747
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Created: 7th Sep 2020 at 13:38
Last updated: 30th Jan 2023 at 11:53
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