Empirical evaluation of language modeling to ascertain cancer outcomes from clinical text reports

BACKGROUND: Longitudinal data on key cancer outcomes for clinical research, such as response to treatment and disease progression, are not captured in standard cancer registry reporting. Manual extraction of such outcomes from unstructured electronic health records is a slow, resource-intensive proc...

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Detalles Bibliográficos
Autores principales: Elmarakeby, Haitham A., Trukhanov, Pavel S., Arroyo, Vidal M., Riaz, Irbaz Bin, Schrag, Deborah, Van Allen, Eliezer M., Kehl, Kenneth L.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10474750/
https://www.ncbi.nlm.nih.gov/pubmed/37658330
http://dx.doi.org/10.1186/s12859-023-05439-1

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10474750/
https://www.ncbi.nlm.nih.gov/pubmed/37658330
http://dx.doi.org/10.1186/s12859-023-05439-1

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