Use of artificial neural networks in prostate cancer.

A. Errejon, E. David Crawford, Judith Dayhoff, Colin O'Donnell, Ashutosh Tewari, James Finkelstein, E. Gamito
{"title":"Use of artificial neural networks in prostate cancer.","authors":"A. Errejon, E. David Crawford, Judith Dayhoff, Colin O'Donnell, Ashutosh Tewari, James Finkelstein, E. Gamito","doi":"10.1089/10915360152745821","DOIUrl":null,"url":null,"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.","PeriodicalId":80296,"journal":{"name":"Molecular urology","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2001-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1089/10915360152745821","citationCount":"13","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Molecular urology","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1089/10915360152745821","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 13

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.
人工神经网络在前列腺癌中的应用。
人工神经网络(ann)是一种受生物神经元系统启发的人工智能软件,可用于非线性统计建模。近年来,这些应用在医学研究的预测和分类建模中发挥着越来越重要的作用。我们回顾了人工神经网络背后的基本概念,并检查了这项技术在前列腺癌研究中的选定应用中的作用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信