- gsearch

Note: Javascript is disabled or is not supported by your browser. For this reason, some items on this page will be unavailable. For more information about this message, please visit this page: About CDC.gov

Advanced Search

- gsearch

Search Results

Narrow Results:

2022 1

Journal Article 1

1 Results

Refine Results

All Collections

Refine Results:

All Collections

Class Imbalance in Out-of-Distribution Datasets: Improving the Robustness of the TextCNN for the Classification of Rare Cancer Types

CITE Title : Class Imbalance in Out-of-Distribution Datasets: Improving the Robustness of the TextCNN for the Classification of Rare Cancer Types Personal Author(s) : De Angeli, Kevin;Gao, Shang;Danciu, Ioana;Durbin, Eric B.;Wu, Xiao-Cheng;Stroup, Antoinette;Doherty, Jennifer;Schwartz, Stephen;Wiggins, Charles;Damesyn, Mark;Coyle, Linda;Penberthy, Lynne;Tourassi, Georgia D.;Yoon, Hong-Jun; Published Date : 1 2022;1-2022; Source : J Biomed Inform. 125:103957 URL : https://stacks.cdc.gov/view/cdc/123189 De Angeli, Kevin et al. (2022). Class Imbalance in Out-of-Distribution Datasets: Improving the Robustness of the TextCNN for the Classification of Rare Cancer Types. 125 De Angeli, Kevin et al. "Class Imbalance in Out-of-Distribution Datasets: Improving the Robustness of the TextCNN for the Classification of Rare Cancer Types" 125 (2022) De Angeli, Kevin et al. "Class Imbalance in Out-of-Distribution Datasets: Improving the Robustness of the TextCNN for the Classification of Rare Cancer Types" vol. 125, 2022 Export RIS Citation Information.

:

De Angeli, Kevin ;

Gao, Shang

1 2022 | J Biomed Inform. 125:103957

:

In the last decade, the widespread adoption of electronic health record documentation has created huge opportunities for information mining. Natural l...

To see more results, try removing search filters or changing the search terms