Application of artificial neural networks in the diagnosis of urological dysfunctions
Författare
Summary, in English
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.
Avdelning/ar
Publiceringsår
2009
Språk
Engelska
Sidor
5754-5760
Publikation/Tidskrift/Serie
Expert Systems with Applications
Volym
36
Issue
3
Dokumenttyp
Artikel i tidskrift
Förlag
Elsevier
Ämne
- Computer Science
Nyckelord
- Urology
- Decision support systems
- Expert systems in medicine
- Artificial neural networks
- Artificial intelligence
Status
Published
ISBN/ISSN/Övrigt
- ISSN: 0957-4174