International experience on the use of artificial neural networks in gastroenterology

被引:36
|
作者
Grossi, E.
Mancini, A.
Buscema, A.
机构
[1] Bracco Spa, Dept Med, I-20134 Milan, Italy
[2] Semeion Res Ctr Commun Sci, I-00128 Rome, Italy
关键词
artificial neural networks; evolutionary algorithms; gastroenterology; variable selection;
D O I
10.1016/j.dld.2006.10.003
中图分类号
R57 [消化系及腹部疾病];
学科分类号
摘要
In this paper, we reconsider the scientific background for the use of artificial intelligence tools in medicine. A review of some recent significant papers shows that artificial neural networks, the more advanced and effective artificial intelligence technique, can improve the classification accuracy and survival prediction of a number of gastrointestinal diseases. We discuss the 'added value' the use of artificial neural networks-based tools can bring in the field of gastroenterology, both at research and clinical application level, when compared with traditional statistical or clinical-pathological methods. (c) 2006 Editrice Gastroenterologica Italiana S.r.l. Published by Elsevier Ltd. All rights reserved.
引用
收藏
页码:278 / 285
页数:8
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