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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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| Wydane w: | AMIA Annu Symp Proc |
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| Główni autorzy: | , , , , , |
| Format: | Artigo |
| Język: | Inglês |
| Wydane: |
American Medical Informatics Association
2018
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| Hasła przedmiotowe: | |
| Dostęp online: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6371322/ https://ncbi.nlm.nih.gov/pubmed/30815153 |
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