DocumentCode
2315623
Title
Neural network based systems for prostate cancer stage prediction
Author
Zhang, Hong ; Zhang, Zhen ; Partin, Alan W.
Author_Institution
Horus Global HealthNet, Savannah, GA, USA
Volume
3
fYear
2000
fDate
2000
Firstpage
659
Abstract
Artificial neural networks were applied to the problem of predicting whether a newly diagnosed prostate cancer is organ-confined, a critical factor in determining the treatment strategy. An effective and easy to use staging index was developed and probability estimates with confidence intervals were derived
Keywords
cancer; neural nets; patient treatment; probability; confidence intervals; neural network based systems; organ-confined cancer; probability estimates; prostate cancer stage prediction; staging index; treatment strategy; Artificial neural networks; Diseases; Input variables; Logistics; Medical diagnostic imaging; Medical treatment; Multi-layer neural network; Neural networks; Prostate cancer; Table lookup;
fLanguage
English
Publisher
ieee
Conference_Titel
Neural Networks, 2000. IJCNN 2000, Proceedings of the IEEE-INNS-ENNS International Joint Conference on
Conference_Location
Como
ISSN
1098-7576
Print_ISBN
0-7695-0619-4
Type
conf
DOI
10.1109/IJCNN.2000.861399
Filename
861399
Link To Document