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 language | English (US) |
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Pages | 659-662 |
Number of pages | 4 |
State | Published - Jan 1 2000 |
Externally published | Yes |
Event | International Joint Conference on Neural Networks (IJCNN'2000) - Como, Italy Duration: Jul 24 2000 → Jul 27 2000 |
Other
Other | International Joint Conference on Neural Networks (IJCNN'2000) |
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City | Como, Italy |
Period | 7/24/00 → 7/27/00 |
ASJC Scopus subject areas
- Software
- Artificial Intelligence