A comparative study of pretrained language models for long clinical text is a research paper published in Journal of the American Medical Informatics Association (2022). On theSindex it has a DataRank of 0. It has been cited 139 times.
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National Institutes of Health
Grant: U01TR003528
National Institutes of Health
Grant: R01LM013337
NCATS NIH HHS
Grant: UL1 TR001422
National Institutes of Health
Grant: 1U01TR003528-01A1
CRITICAL: Collaborative Resource for Intensive care Translational science, Informatics, Comprehensive Analytics, and Learning
National Institutes of Health
Grant: 5R01LM013337-04
Modeling the Incompleteness and Biases of Health Data
FWCI
13.36
Citation Percentile
1.0%
Citation Trend
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MeSH Terms
Keywords
Sustainable Development Goals
Additional file 1 of iProL: identifying DNA promoters from sequence information based on Longformer pre-trained model
Additional file 1 of iProL: identifying DNA promoters from sequence information based on Longformer pre-trained model
A Comparative Study of Pretrained Language Models for Long Clinical Text