Name
Title | ||
|---|---|---|
Application of artificial neural networks in the diagnosis of urological dysfunctions |
Abstract | ||
|---|---|---|
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. |
Year | DOI | Venue |
|---|---|---|
2009 | 10.1016/j.eswa.2008.06.065 | Expert Systems with Applications |
Keywords | DocType | Volume |
Artificial neural networks,Urology,Expert systems in medicine,Artificial intelligence,Decision support systems | Journal | 36 |
Issue | ISSN | Citations |
3 | 0957-4174 | 1 |
PageRank | References | Authors |
0.40 | 0 | 5 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| David Gil | 1 | 115 | 12.71 |
| Magnus Johnsson | 2 | 99 | 13.51 |
| Juan Manuel García Chamizo | 3 | 17 | 4.20 |
| Antonio Soriano Payá | 4 | 20 | 7.01 |
| Daniel Ruiz Fernández | 5 | 25 | 8.12 |