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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...
Autores principales: | Cassim, Naseem, Mapundu, Michael, Olago, Victor, Celik, Turgay, George, Jaya Anna, Glencross, Deborah Kim |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2021
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Materias: | |
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 |
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