Application of artificial neural networks in the diagnosis of urological dysfunctions

被引:35
作者
Gil, David [1 ]
Johnsson, Magnus [2 ]
Chamizo, Juan Manuel Garcia [1 ]
Paya, Antonio Soriano [1 ]
Fernandez, Daniel Ruiz [1 ]
机构
[1] Univ Alicante, E-03080 Alicante, Spain
[2] Lund Univ, Dept Comp Sci, Lund Univ Cognit Sci, S-22100 Lund, Sweden
关键词
Artificial neural networks; Urology; Expert systems in medicine; Artificial intelligence; Decision support systems; PREDICT;
D O I
10.1016/j.eswa.2008.06.065
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
In this article, we evaluate the work out of some artificial neural network models as tools for support in the medical diagnosis of urological dysfunctions. We develop two types of unsupervised and one supervised neural network. This scheme is meant to help the urologists in obtaining a diagnosis for complex multi-variable diseases and to reduce painful and costly medical treatments since neurological dysfunctions are difficult to diagnose. The clinical study has been carried out using medical registers of patients with urological dysfunctions. The proposal is able to distinguish and classify between ill and healthy patients. (C) 2008 Elsevier Ltd. All rights reserved.
引用
收藏
页码:5754 / 5760
页数:7
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