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Combine Factual Medical Knowledge and Distributed Word Representation to Improve Clinical Named Entity Recognition
There has been an increasing interest in developing deep learning methods to recognize clinical concepts from narrative clinical text. Recently, several studies have reported that Recurrent Neural Networks (RNNs) outperformed traditional machine learning methods such as Conditional Random Fields (CR...
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| Publicado no: | AMIA Annu Symp Proc |
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| Main Authors: | , , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
American Medical Informatics Association
2018
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6371322/ https://ncbi.nlm.nih.gov/pubmed/30815153 |
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