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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...

Täydet tiedot

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Bibliografiset tiedot
Julkaisussa:J Am Med Inform Assoc
Päätekijät: Kang, Tian, Perotte, Adler, Tang, Youlan, Ta, Casey, Weng, Chunhua
Aineistotyyppi: Artigo
Kieli:Inglês
Julkaistu: Oxford University Press 2020
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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