人工神经网络在前列腺癌中的应用。

Molecular urology Pub Date : 2001-01-01 DOI:10.1089/10915360152745821

A. Errejon, E. David Crawford, Judith Dayhoff, Colin O'Donnell, Ashutosh Tewari, James Finkelstein, E. Gamito

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引用次数: 13

摘要

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。

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Use of artificial neural networks in prostate cancer.

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.

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Molecular urology

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