Application of artificial neural networks in the diagnosis of urological dysfunctions
(2009) In Expert Systems with Applications 36(3). p.5754-5760- 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. (C) 2008 Elsevier Ltd. All rights reserved.
Please use this url to cite or link to this publication:
https://lup.lub.lu.se/record/1370712
- author
- Gil, David LU ; Johnsson, Magnus LU ; Chamizo, Juan Manuel Garcia ; Paya, Antonio Soriano and Fernandez, Daniel Ruiz
- organization
- publishing date
- 2009
- type
- Contribution to journal
- publication status
- published
- subject
- keywords
- Urology, Decision support systems, Expert systems in medicine, Artificial neural networks, Artificial intelligence
- in
- Expert Systems with Applications
- volume
- 36
- issue
- 3
- pages
- 5754 - 5760
- publisher
- Elsevier
- external identifiers
-
- wos:000263817100002
- scopus:58349089446
- ISSN
- 0957-4174
- DOI
- 10.1016/j.eswa.2008.06.065
- language
- English
- LU publication?
- yes
- id
- 76b5f9f0-f519-4576-83fb-ed4034437bb5 (old id 1370712)
- date added to LUP
- 2016-04-01 12:05:38
- date last changed
- 2022-02-18 17:49:39
@article{76b5f9f0-f519-4576-83fb-ed4034437bb5, 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. (C) 2008 Elsevier Ltd. All rights reserved.}}, author = {{Gil, David and Johnsson, Magnus and Chamizo, Juan Manuel Garcia and Paya, Antonio Soriano and Fernandez, Daniel Ruiz}}, issn = {{0957-4174}}, keywords = {{Urology; Decision support systems; Expert systems in medicine; Artificial neural networks; Artificial intelligence}}, language = {{eng}}, number = {{3}}, pages = {{5754--5760}}, publisher = {{Elsevier}}, series = {{Expert Systems with Applications}}, title = {{Application of artificial neural networks in the diagnosis of urological dysfunctions}}, url = {{http://dx.doi.org/10.1016/j.eswa.2008.06.065}}, doi = {{10.1016/j.eswa.2008.06.065}}, volume = {{36}}, year = {{2009}}, }