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UMLS-based data augmentation for natural language processing of clinical research literature
OBJECTIVE: The study sought to develop and evaluate a knowledge-based data augmentation method to improve the performance of deep learning models for biomedical natural language processing by overcoming training data scarcity. MATERIALS AND METHODS: We extended the easy data augmentation (EDA) metho...
Tallennettuna:
| Julkaisussa: | J Am Med Inform Assoc |
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| Päätekijät: | , , , , |
| Aineistotyyppi: | Artigo |
| Kieli: | Inglês |
| Julkaistu: |
Oxford University Press
2020
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| Aiheet: | |
| Linkit: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7973470/ https://ncbi.nlm.nih.gov/pubmed/33367705 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1093/jamia/ocaa309 |
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