Datasets:
Tasks:
Token Classification
Modalities:
Text
Formats:
parquet
Languages:
Dutch
Size:
10M - 100M
Tags:
medical
License:
| license: gpl-3.0 | |
| task_categories: | |
| - token-classification | |
| language: | |
| - nl | |
| tags: | |
| - medical | |
| pretty_name: Dutch Medical Term Pairs. | |
| size_categories: | |
| - 1M<n<10M | |
| Using the UMLS and the SNOMED-CT ontology we identified *hard* positive term pairs by | |
| * making random pairs of descriptions of the same medical concept identifier | |
| and *soft* positive term pairs by | |
| * using the known positive relationships between CUIs | |
| As future work we want to expand the positives using e.g. paraphrasing and context selection from existing clinical documents (like KRISSBERT). | |