PASCAL: a pseudo cascade learning framework for breast cancer treatment entity normalization in Chinese clinical text

BACKGROUNDS: Knowledge discovery from breast cancer treatment records has promoted downstream clinical studies such as careflow mining and therapy analysis. However, the clinical treatment text from electronic health data might be recorded by different doctors under their hospital guidelines, making...

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Detalles Bibliográficos
Autores principales: An, Yang, Wang, Jianlin, Zhang, Liang, Zhao, Hanyu, Gao, Zhan, Huang, Haitao, Du, Zhenguang, Jiao, Zengtao, Yan, Jun, Wei, Xiaopeng, Jin, Bo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2020
Materias:
Technical Advance
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7456389/
https://www.ncbi.nlm.nih.gov/pubmed/32859189
http://dx.doi.org/10.1186/s12911-020-01216-9

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7456389/
https://www.ncbi.nlm.nih.gov/pubmed/32859189
http://dx.doi.org/10.1186/s12911-020-01216-9

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