Advanced

Modelling of urological dysfunctions with neurological etiology by means of their centres involved

Gil, David LU ; Johnsson, Magnus LU ; Garcia Chamizo, J.M; Soriano Paya, A. and Ruiz Fernandez, D. (2011) In Applied Soft Computing 11(8). p.4448-4457
Abstract
Urinary incontinence is a considerable problem which is clearly reflected in the number of patients affected by it. Moreover, it is extremely difficult to obtain an accurate diagnosis as the urinary incontinence very often is related to the neurological system. In this article a model with capabilities for urological diagnosing is proposed. This model is specialized towards the diagnosis of urological dysfunctions with neurological etiology. For this reason the model explores all the neural centres involved in both the urological phases, voiding and micturition. Once these centres have been studied it becomes possible to establish a direct relation between neural centres which present an anomalous functioning and neurological dysfunctions.
Please use this url to cite or link to this publication:
author
organization
publishing date
type
Contribution to journal
publication status
published
subject
keywords
Fuzzy logic systems, Neurofuzzy, Artificial neural networks, Modelling biological systems, Urology, Expert systems in medicine, Artificial intelligence, Decision support systems
in
Applied Soft Computing
volume
11
issue
8
pages
4448 - 4457
publisher
Elsevier
external identifiers
  • wos:000296539700002
  • scopus:80053505892
ISSN
1568-4946
DOI
10.1016/j.asoc.2011.05.029
language
English
LU publication?
yes
id
4dc3a194-6cfd-48e1-b17e-e85c1fd6f3f7 (old id 1982537)
date added to LUP
2011-11-17 10:08:10
date last changed
2017-01-01 03:20:03
@article{4dc3a194-6cfd-48e1-b17e-e85c1fd6f3f7,
  abstract     = {Urinary incontinence is a considerable problem which is clearly reflected in the number of patients affected by it. Moreover, it is extremely difficult to obtain an accurate diagnosis as the urinary incontinence very often is related to the neurological system. In this article a model with capabilities for urological diagnosing is proposed. This model is specialized towards the diagnosis of urological dysfunctions with neurological etiology. For this reason the model explores all the neural centres involved in both the urological phases, voiding and micturition. Once these centres have been studied it becomes possible to establish a direct relation between neural centres which present an anomalous functioning and neurological dysfunctions.},
  author       = {Gil, David and Johnsson, Magnus and Garcia Chamizo, J.M and Soriano Paya, A. and Ruiz Fernandez, D.},
  issn         = {1568-4946},
  keyword      = {Fuzzy logic systems,Neurofuzzy,Artificial neural networks,Modelling biological systems,Urology,Expert systems in medicine,Artificial intelligence,Decision support systems},
  language     = {eng},
  number       = {8},
  pages        = {4448--4457},
  publisher    = {Elsevier},
  series       = {Applied Soft Computing},
  title        = {Modelling of urological dysfunctions with neurological etiology by means of their centres involved},
  url          = {http://dx.doi.org/10.1016/j.asoc.2011.05.029},
  volume       = {11},
  year         = {2011},
}