Abstract | ||
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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. |
Year | DOI | Venue |
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2018 | 10.3233/978-1-61499-852-5-26 | Studies in Health Technology and Informatics |
Keywords | Field | DocType |
German language,clinical text corpus,medication information extraction | Knowledge management,Library science,Medicine,German | Conference |
Volume | ISSN | Citations |
247 | 0926-9630 | 0 |
PageRank | References | Authors |
0.34 | 0 | 4 |
Name | Order | Citations | PageRank |
---|---|---|---|
Udo Hahn | 1 | 88 | 11.14 |
Franz Matthies | 2 | 4 | 2.17 |
Christina Lohr | 3 | 0 | 3.04 |
Markus Löffler | 4 | 48 | 8.56 |