Examining the Generalizability of Pretrained De-identification Transformer Models on Narrative Nursing Notes

Chen, F., Bokhari, S. M. A., Cato, K., Gürsoy, G., & Rossetti, S. (2024). Examining the Generalizability of Pretrained De-identification Transformer Models on Narrative Nursing Notes. Applied Clinical Informatics, 15(02), 357–367. CLOCKSS. https://doi.org/10.1055/a-2282-4340
Authors:
Fangyi Chen
Syed Mohtashim Abbas Bokhari
Kenrick Cato
Gamze Gürsoy
Sarah Rossetti
Affiliated Authors:
Fangyi Chen
Syed Mohtashim Abbas Bokhari
Kenrick Cato
Gamze Gürsoy
Sarah Rossetti
Columbia Affiliation:
Subjects:
Narration (MeSH)
Author Keywords:
nursing notes
i2b2
discharge summaries
de-identification
transformers
nlp
elink
Publication Type:
Article
Unique ID:
10.1055/a-2282-4340
PMID:
38447965
DOI:
10.1055/a-2282-4340
Journal:
Applied Clinical Informatics
Publication Date:
Data Source:
PubMed
Source Link:
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