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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...

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Bibliografische gegevens
Gepubliceerd in:J Am Med Inform Assoc
Hoofdauteurs: Kang, Tian, Perotte, Adler, Tang, Youlan, Ta, Casey, Weng, Chunhua
Formaat: Artigo
Taal:Inglês
Gepubliceerd in: Oxford University Press 2020
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Online toegang: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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