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...

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Detalles Bibliográficos
Autores principales: Mendoza-Urbano, Diana Marcela, Garcia, Johan Felipe, Moreno, Juan Sebastian, Bravo-Ocaña, Juan Carlos, Riascos, Alvaro José, Zambrano Harvey, Angela, Prada, Sergio I
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Universidad del Valle 2023
Materias:
Original Article
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

Internet

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

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