Neural network based systems for prostate cancer stage prediction

Research output: Contribution to conferencePaperpeer-review

Abstract

An artificial neural network based system was used to predict whether a newly diagnosed prostate cancer is organ-confined. The study was based on a dataset of 4322 patients from the John Hopkins Medical Center and the University of Michigan. A single staging index was developed and logistic regression was performed on the index value to obtain the corresponding probability estimations and confidence intervals.

Original languageEnglish (US)
Pages659-662
Number of pages4
StatePublished - Jan 1 2000
Externally publishedYes
EventInternational Joint Conference on Neural Networks (IJCNN'2000) - Como, Italy
Duration: Jul 24 2000Jul 27 2000

Other

OtherInternational Joint Conference on Neural Networks (IJCNN'2000)
CityComo, Italy
Period7/24/007/27/00

ASJC Scopus subject areas

  • Software
  • Artificial Intelligence

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