Neural network based systems for prostate cancer stage prediction

Hong Zhang; Zhen Zhang; Alan W. Partin

Neural network based systems for prostate cancer stage prediction

Hong Zhang, Zhen Zhang, Alan W. Partin

Research output: Contribution to conference › Paper › peer-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 language	English (US)
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)
City	Como, Italy
Period	7/24/00 → 7/27/00

ASJC Scopus subject areas

Software
Artificial Intelligence

Cite this

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title = "Neural network based systems for prostate cancer stage prediction",

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.",

author = "Hong Zhang and Zhen Zhang and Partin, {Alan W.}",

year = "2000",

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day = "1",

language = "English (US)",

pages = "659--662",

note = "International Joint Conference on Neural Networks (IJCNN'2000) ; Conference date: 24-07-2000 Through 27-07-2000",

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TY - CONF

T1 - Neural network based systems for prostate cancer stage prediction

AU - Zhang, Hong

AU - Zhang, Zhen

AU - Partin, Alan W.

PY - 2000/1/1

Y1 - 2000/1/1

N2 - 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.

AB - 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.

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M3 - Paper

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SP - 659

EP - 662

T2 - International Joint Conference on Neural Networks (IJCNN'2000)

Y2 - 24 July 2000 through 27 July 2000

ER -

Neural network based systems for prostate cancer stage prediction

Abstract

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ASJC Scopus subject areas

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