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Adapting State-of-the-Art Deep Language Models to Clinical Information Extraction Systems: Potentials, Challenges, and Solutions
BACKGROUND: Deep learning (DL) has been widely used to solve problems with success in speech recognition, visual object recognition, and object detection for drug discovery and genomics. Natural language processing has achieved noticeable progress in artificial intelligence. This gives an opportunit...
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| Veröffentlicht in: | JMIR Med Inform |
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| Hauptverfasser: | , , |
| Format: | Artigo |
| Sprache: | Inglês |
| Veröffentlicht: |
JMIR Publications
2019
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| Schlagworte: | |
| Online Zugang: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6658232/ https://ncbi.nlm.nih.gov/pubmed/31021325 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.2196/11499 |
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