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Comparative Study of Various Approaches for Ensemble-based De-identification of Electronic Health Record Narratives
De-identification of electric health record narratives is a fundamental task applying natural language processing to better protect patient information privacy. We explore different types of ensemble learning methods to improve clinical text de-identification. We present two ensemble-based approache...
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| Опубликовано в: : | AMIA Annu Symp Proc |
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| Главные авторы: | , , |
| Формат: | Artigo |
| Язык: | Inglês |
| Опубликовано: |
American Medical Informatics Association
2021
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| Предметы: | |
| Online-ссылка: | https://ncbi.nlm.nih.gov/pmc/articles/PMC8075417/ https://ncbi.nlm.nih.gov/pubmed/33936439 |
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