The prediction of cancer-specific mortality in T1 non-muscle-invasive bladder cancer: comparison of logistic regression and artificial neural network: a SEER population-based study

PURPOSE: To identify the risk factors for 5-year cancer-specific (CSS) and overall survival (OS) and to compare the accuracy of logistic regression (LR) and artificial neural network (ANN) in the prediction of survival outcomes in T1 non-muscle-invasive bladder cancer. METHODS: This is a population-...

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Detalles Bibliográficos
Autores principales: Ślusarczyk, Aleksander, Zapała, Piotr, Olszewska-Ślusarczyk, Zofia, Radziszewski, Piotr
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Netherlands 2023
Materias:
Urology - Original Paper
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10406653/
https://www.ncbi.nlm.nih.gov/pubmed/37280316
http://dx.doi.org/10.1007/s11255-023-03655-5

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10406653/
https://www.ncbi.nlm.nih.gov/pubmed/37280316
http://dx.doi.org/10.1007/s11255-023-03655-5

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