Use of artificial neural networks in prostate cancer

Abelardo Errejon; E. David Crawford; Judith Dayhoff; Colin ODonnell; Ashutosh Tewari; James Finkelstein; Eduard J. Gamito

doi:10.1089/10915360152745821

Use of artificial neural networks in prostate cancer

Abelardo Errejon, E. David Crawford, Judith Dayhoff, Colin ODonnell, Ashutosh Tewari, James Finkelstein, Eduard J. Gamito

Research output: Contribution to journal › Review article › peer-review

11 Scopus citations

Abstract

Artificial neural networks (ANNs) are a type of artificial intelligence software inspired by biological neuronal systems that can be used for nonlinear statistical modeling. In recent years, these applications have played an increasing role in predictive and classification modeling in medical research. We review the basic concepts behind ANNs and examine the role of this technology in selected applications in prostate cancer research.

Original language	English
Pages (from-to)	153-158
Number of pages	6
Journal	Molecular Urology
Volume	5
Issue number	4
DOIs	https://doi.org/10.1089/10915360152745821
State	Published - 1 Dec 2001
Externally published	Yes

Access to Document

10.1089/10915360152745821

Cite this

@article{7a86a8e5b52f4e3184f7b973410ccb32,

title = "Use of artificial neural networks in prostate cancer",

abstract = "Artificial neural networks (ANNs) are a type of artificial intelligence software inspired by biological neuronal systems that can be used for nonlinear statistical modeling. In recent years, these applications have played an increasing role in predictive and classification modeling in medical research. We review the basic concepts behind ANNs and examine the role of this technology in selected applications in prostate cancer research.",

author = "Abelardo Errejon and Crawford, {E. David} and Judith Dayhoff and Colin ODonnell and Ashutosh Tewari and James Finkelstein and Gamito, {Eduard J.}",

year = "2001",

month = dec,

day = "1",

doi = "10.1089/10915360152745821",

language = "English",

volume = "5",

pages = "153--158",

journal = "Molecular Urology",

issn = "1091-5362",

publisher = "Mary Ann Liebert Inc.",

number = "4",

}

TY - JOUR

T1 - Use of artificial neural networks in prostate cancer

AU - Errejon, Abelardo

AU - Crawford, E. David

AU - Dayhoff, Judith

AU - ODonnell, Colin

AU - Tewari, Ashutosh

AU - Finkelstein, James

AU - Gamito, Eduard J.

PY - 2001/12/1

Y1 - 2001/12/1

N2 - Artificial neural networks (ANNs) are a type of artificial intelligence software inspired by biological neuronal systems that can be used for nonlinear statistical modeling. In recent years, these applications have played an increasing role in predictive and classification modeling in medical research. We review the basic concepts behind ANNs and examine the role of this technology in selected applications in prostate cancer research.

AB - Artificial neural networks (ANNs) are a type of artificial intelligence software inspired by biological neuronal systems that can be used for nonlinear statistical modeling. In recent years, these applications have played an increasing role in predictive and classification modeling in medical research. We review the basic concepts behind ANNs and examine the role of this technology in selected applications in prostate cancer research.

UR - http://www.scopus.com/inward/record.url?scp=0035674930&partnerID=8YFLogxK

U2 - 10.1089/10915360152745821

DO - 10.1089/10915360152745821

M3 - Review article

C2 - 11790276

AN - SCOPUS:0035674930

SN - 1091-5362

VL - 5

SP - 153

EP - 158

JO - Molecular Urology

JF - Molecular Urology

IS - 4

ER -

Use of artificial neural networks in prostate cancer

Abstract

Access to Document

Fingerprint

Cite this