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Automated extraction of information from free text of Spanish oncology pathology reports
BACKGROUND: Pathology reports are stored as unstructured, ungrammatical, fragmented, and abbreviated free text with linguistic variability among pathologists. For this reason, tumor information extraction requires a significant human effort. Recording data in an efficient and high-quality format is...
| Autores principales: | , , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Universidad del Valle
2023
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10443791/ https://www.ncbi.nlm.nih.gov/pubmed/37614525 http://dx.doi.org/10.25100/cm.v54i1.5300 |