Improving Model Transferability for Clinical Note Section Classification Models Using Continued Pretraining

OBJECTIVE: The classification of clinical note sections is a critical step before doing more fine-grained natural language processing tasks such as social determinants of health extraction and temporal information extraction. Often, clinical note section classification models that achieve high accur...

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Detalles Bibliográficos
Autores principales: Zhou, Weipeng, Yetisgen, Meliha, Afshar, Majid, Gao, Yanjun, Savova, Guergana, Miller, Timothy A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Cold Spring Harbor Laboratory 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10168403/
https://www.ncbi.nlm.nih.gov/pubmed/37162963
http://dx.doi.org/10.1101/2023.04.15.23288628

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10168403/
https://www.ncbi.nlm.nih.gov/pubmed/37162963
http://dx.doi.org/10.1101/2023.04.15.23288628

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