CancerBERT: a cancer domain-specific language model for extracting breast cancer phenotypes from electronic health records

OBJECTIVE: Accurate extraction of breast cancer patients’ phenotypes is important for clinical decision support and clinical research. This study developed and evaluated cancer domain pretrained CancerBERT models for extracting breast cancer phenotypes from clinical texts. We also investigated the e...

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Detalles Bibliográficos
Autores principales: Zhou, Sicheng, Wang, Nan, Wang, Liwei, Liu, Hongfang, Zhang, Rui
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2022
Materias:
Research and Applications
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9196678/
https://www.ncbi.nlm.nih.gov/pubmed/35333345
http://dx.doi.org/10.1093/jamia/ocac040

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9196678/
https://www.ncbi.nlm.nih.gov/pubmed/35333345
http://dx.doi.org/10.1093/jamia/ocac040

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