The use of neural networks and logistic regression analysis for predicting pathological stage in men undergoing radical prostatectomy: a population based study.

@article{Borque2001TheUO,
  title={The use of neural networks and logistic regression analysis for predicting pathological stage in men undergoing radical prostatectomy: a population based study.},
  author={{\'A}ngel Borque and Gonzalo R Sanz and Carlos Allepuz and Luis Plaza and Pedro Gil and Luis Angel Rioja},
  journal={The Journal of urology},
  year={2001},
  volume={166 5},
  pages={1672-8}
}
PURPOSE Clinical under staging occurs in 40% to 60% of patients who undergo radical prostatectomy for prostate cancer. To decrease under staging several methods of predicting pathological stage preoperatively have been developed based on statistical logistic regression analysis and neural networks. To our knowledge none has been validated in our homogeneous regional patient population to date. We created logistic regression and neural network models, and implemented and adapted them into our… CONTINUE READING

Citations

Publications citing this paper.
Showing 1-10 of 14 extracted citations

Similar Papers

Loading similar papers…