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Clinical Named Entity Recognition Using Deep Learning Models
Clinical Named Entity Recognition (NER) is a critical natural language processing (NLP) task to extract important concepts (named entities) from clinical narratives. Researchers have extensively investigated machine learning models for clinical NER. Recently, there have been increasing efforts to ap...
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| I publikationen: | AMIA Annu Symp Proc |
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| Huvudupphovsmän: | , , , , |
| Materialtyp: | Artigo |
| Språk: | Inglês |
| Publicerad: |
American Medical Informatics Association
2018
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| Ämnen: | |
| Länkar: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5977567/ https://ncbi.nlm.nih.gov/pubmed/29854252 |
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