Using text mining techniques to extract prostate cancer predictive information (Gleason score) from semi-structured narrative laboratory reports in the Gauteng province, South Africa

BACKGROUND: Prostate cancer (PCa) is the leading male neoplasm in South Africa with an age-standardised incidence rate of 68.0 per 100,000 population in 2018. The Gleason score (GS) is the strongest predictive factor for PCa treatment and is embedded within semi-structured prostate biopsy narrative...

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Detalles Bibliográficos
Autores principales: Cassim, Naseem, Mapundu, Michael, Olago, Victor, Celik, Turgay, George, Jaya Anna, Glencross, Deborah Kim
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2021
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8614040/
https://www.ncbi.nlm.nih.gov/pubmed/34823522
http://dx.doi.org/10.1186/s12911-021-01697-2

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8614040/
https://www.ncbi.nlm.nih.gov/pubmed/34823522
http://dx.doi.org/10.1186/s12911-021-01697-2

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