Application of artificial neural networks in the diagnosis of urological dysfunctions
Research output: Contribution to journal › Review article
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.
|Research areas and keywords||
Subject classification (UKÄ) – MANDATORY
|Journal||Expert Systems with Applications|
|Publication status||Published - 2009|