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Annotating longitudinal clinical narratives for de-identification: the 2014 i2b2/UTHealth Corpus
The 2014 i2b2/UTHealth natural language processing shared task featured a track focused on the de-identification of longitudinal medical records. For this track, we de-identified a set of 1,304 longitudinal medical records describing 296 patients. This corpus was de-identified under a broad interpre...
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| Publicado no: | J Biomed Inform |
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| Main Authors: | , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
2015
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4978170/ https://ncbi.nlm.nih.gov/pubmed/26319540 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.jbi.2015.07.020 |
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