Artificial neural networks for cancer research: Outcome prediction
作者:
Harry B. Burke,
期刊:
Seminars in Surgical Oncology
(WILEY Available online 1994)
卷期:
Volume 10,
issue 1
页码: 73-79
ISSN:8756-0437
年代: 1994
DOI:10.1002/ssu.2980100111
出版商: John Wiley&Sons, Inc.
关键词: breast cancer;staging;TNM;prediction;outcome;SEER;c index;ROC
数据来源: WILEY
摘要:
AbstractThe 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. © 1994 Wiley‐Liss, I
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