ARTIFICIAL NEURAL NETWORKS FOR CANCER-RESEARCH - OUTCOME PREDICTION

被引：52

作者：

BURKE, HB

机构：

[1] Center for Biomedical Modeling Research, University of Nevada School of Medicine, Reno, Nevada

[2] Center for the Biomedical Modeling Research, University of Nevada School of Medicine, Reno, Nevada

来源：

SEMINARS IN SURGICAL ONCOLOGY | 1994年 / 10卷 / 01期

关键词：

BREAST CANCER; STAGING; TNM; PREDICTION; OUTCOME; SEER; C-INDEX; ROC;

D O I：

10.1002/ssu.2980100111

中图分类号：

R73 [肿瘤学];

学科分类号：

100214 ;

摘要：

The use of artificial neural networks in biological and medical research has increased tremendously in the last few years. Artificial neural networks are being used in cancer research for image processing, the analysis of laboratory data for breast cancer diagnosis, the discovery of chemotherapeutic agents, and for cancer outcome prediction. A neural network generalizes from the input data to patterns inherent in the data, and it uses these patterns to make predictions or to classify. This paper explains how neural networks work, and it shows that a neural network is more accurate at predicting breast cancer patient outcome than the current staging system. (C) 1994 Wiley-Liss, Inc.

引用

页码：73 / 79

页数：7

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