Machine learning for survival analysis: a case study on recurrence of prostate cancer

This publication has 15 references indexed in Scilit:

• Postoperative Nomogram for Disease Recurrence After Radical Prostatectomy for Prostate Cancer
  Journal of Clinical Oncology, 1999
• Prognostic methods in medicine
  Artificial Intelligence in Medicine, 1999
• An evaluation of intelligent prognostic systems for colorectal cancer
  Artificial Intelligence in Medicine, 1999
• Experiments to Determine Whether Recursive Partitioning (CART) or an Artificial Neural Network Overcomes Theoretical Limitations of Cox Proportional Hazards Regression
  Computers and Biomedical Research, 1998
• Feed forward neural networks for the analysis of censored survival data: a partial logistic regression approach
  Statistics in Medicine, 1998
• A Preoperative Nomogram for Disease Recurrence Following Radical Prostatectomy for Prostate Cancer
  JNCI Journal of the National Cancer Institute, 1998
• Artificial neural networks improve the accuracy of cancer survival prediction
  Cancer, 1997
• A neural network model for survival data
  Statistics in Medicine, 1995
• On estimating probabilities in tree pruning
  Published by Springer Nature ,1991
• The meaning and use of the area under a receiver operating characteristic (ROC) curve.
  Radiology, 1982