A Keyword-Enhanced Approach to Handle Class Imbalance in Clinical Text Classification

Recent applications of deep learning have shown promising results for classifying unstructured text in the healthcare domain. However, the reliability of models in production settings has been hindered by imbalanced data sets in which a small subset of the classes dominate. In the absence of adequat...

Descripción completa

Detalles Bibliográficos
Autores principales: Blanchard, Andrew E., Gao, Shang, Yoon, Hong-Jun, Christian, J. Blair, Durbin, Eric B., Wu, Xiao-Cheng, Stroup, Antoinette, Doherty, Jennifer, Schwartz, Stephen M., Wiggins, Charles, Coyle, Linda, Penberthy, Lynne, Tourassi, Georgia D.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9533247/
https://www.ncbi.nlm.nih.gov/pubmed/35020599
http://dx.doi.org/10.1109/JBHI.2022.3141976

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9533247/
https://www.ncbi.nlm.nih.gov/pubmed/35020599
http://dx.doi.org/10.1109/JBHI.2022.3141976

Ejemplares similares