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Efficient Active Learning for Electronic Medical Record De-identification
Electronic medical records are often de-identified before disseminated for secondary uses. However, unstructured natural language records are challenging to de-identify while utilizing a considerable amount of expensive human annotation. In this investigation, we incorporate active learning into the...
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| Publicado no: | AMIA Jt Summits Transl Sci Proc |
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| Main Authors: | , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
American Medical Informatics Association
2019
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6568071/ https://ncbi.nlm.nih.gov/pubmed/31259000 |
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