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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Vydáno v:AMIA Jt Summits Transl Sci Proc
Hlavní autoři: Meng, Xing, Ganoe, Craig H., Sieberg, Ryan T., Cheung, Yvonne Y., Hassanpour, Saeed
Médium: Artigo
Jazyk:Inglês
Vydáno: American Medical Informatics Association 2020
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On-line přístup:https://ncbi.nlm.nih.gov/pmc/articles/PMC7233055/
https://ncbi.nlm.nih.gov/pubmed/32477662
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