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

Authors:
David Gil;Magnus Johnsson;Juan Manuel García Chamizo;Antonio Soriano Paya;Daniel Ruíz Fernández
Affiliations:
Computing Technology and Data Processing, University of Alicante, Spain;Lund University Cognitive Science & Department of Computer Science, Lund University, Lund, Sweden;Computing Technology and Data Processing, University of Alicante, Spain;Computing Technology and Data Processing, University of Alicante, Spain;Computing Technology and Data Processing, University of Alicante, Spain
Venue:
Applied Soft Computing
Year:
2011

Citing 6
Cited 2

Multi-Agent Systems: An Introduction to Distributed Artificial Intelligence

Multi-Agent Systems: An Introduction to Distributed Artificial Intelligence
Human evolutionary model: A new approach to optimization

Information Sciences: an International Journal
A software package for interactive motor unit potential classification using fuzzy k-NN classifier

Computer Methods and Programs in Biomedicine
A robust model of the neuronal regulator of the lower urinary tract based on artificial neural networks

Neurocomputing
Review: Application of artificial neural networks in the diagnosis of urological dysfunctions

Expert Systems with Applications: An International Journal
Modeling and control for nonlinear structural systems via a NN-based approach

Expert Systems with Applications: An International Journal

Predicting seminal quality with artificial intelligence methods

Expert Systems with Applications: An International Journal
Mathematical modelling of the lower urinary tract

Computer Methods and Programs in Biomedicine

Quantified Score

Hi-index	0.00

Visualization

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.