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...
| Publicado en: | BMC Medical Informatics & Decision Making Vol. 20; no. 1 |
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| Autores principales: | , , , , , , , , , , |
| Formato: | research Journal Article |
| Publicado: |
BioMed Central
8/28/2020
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| Acceso en línea: | Ver este registro en EBSCOhost |