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Self-Supervised Contextual Language Representation of Radiology Reports to Improve the Identification of Communication Urgency
Machine learning methods have recently achieved high-performance in biomedical text analysis. However, a major bottleneck in the widespread application of these methods is obtaining the required large amounts of annotated training data, which is resource intensive and time consuming. Recent progress...
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| Pubblicato in: | AMIA Jt Summits Transl Sci Proc |
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| Autori principali: | , , , , |
| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
American Medical Informatics Association
2020
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| Soggetti: | |
| Accesso online: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7233055/ https://ncbi.nlm.nih.gov/pubmed/32477662 |
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