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) method...

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Detalles Bibliográficos
Publicado en:Journal of the American Medical Informatics Association Vol. 28; no. 4; pp. 812 - 824
Autores principales: Kang, Tian, Perotte, Adler, Tang, Youlan, Ta, Casey, Weng, Chunhua
Formato: Journal Article
Publicado: Oxford University Press / USA Apr2021
Acceso en línea:Ver este registro en EBSCOhost