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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.

Aleksander ŚlusarczykPiotr ZapałaZofia Olszewska-ŚlusarczykPiotr Radziszewski
Published in: International urology and nephrology (2023)
Available risk factors might be useful to estimate the risk of CSS and OS and thus facilitate optimal treatment choice. The accuracy of survival prediction is still moderate. T1 BC with adverse features requires more aggressive treatment after initial TURBT.
Keyphrases
  • risk factors
  • neural network
  • muscle invasive bladder cancer
  • emergency department
  • papillary thyroid
  • cardiovascular disease
  • squamous cell carcinoma
  • high intensity
  • type diabetes
  • decision making
  • adverse drug