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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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| Veröffentlicht in: | AMIA Annu Symp Proc |
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| Hauptverfasser: | , , , , , |
| Format: | Artigo |
| Sprache: | Inglês |
| Veröffentlicht: |
American Medical Informatics Association
2018
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| Schlagworte: | |
| Online Zugang: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6371322/ https://ncbi.nlm.nih.gov/pubmed/30815153 |
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