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Artificial Neural Networks for Diagnoses of Dysfunctions in Urology

Gil Mendez, David; Johnsson, Magnus LU ; Soriano Paya, A and Ruiz Fernandez, D (2008) Healthinf 2008 In [Host publication title missing] p.191-196
Abstract
In this article we evaluate the work out

of artificial neural networks as tools for helping and support in

the medical diagnosis. In particular we compare the usability of one

supervised and two unsupervised neural network architectures for

medical diagnoses of lower urinary tract dysfunctions. The purpose

is to develop a system that aid urologists in obtaining diagnoses,

which will yield improved diagnostic accuracy and lower medical

treatment costs. The clinical study has been carried out using the

medical registers of patients with dysfunctions in the lower urinary

tract. The current system is able to distinguish and classify

dysfunctions as... (More)
In this article we evaluate the work out

of artificial neural networks as tools for helping and support in

the medical diagnosis. In particular we compare the usability of one

supervised and two unsupervised neural network architectures for

medical diagnoses of lower urinary tract dysfunctions. The purpose

is to develop a system that aid urologists in obtaining diagnoses,

which will yield improved diagnostic accuracy and lower medical

treatment costs. The clinical study has been carried out using the

medical registers of patients with dysfunctions in the lower urinary

tract. The current system is able to distinguish and classify

dysfunctions as areflexia, hyperreflexia, obstruction of the lower

urinary tract and patients free from dysfunction. (Less)
Please use this url to cite or link to this publication:
author
organization
publishing date
type
Chapter in Book/Report/Conference proceeding
publication status
published
subject
in
[Host publication title missing]
pages
6 pages
publisher
Proceedings of Healthinf 2008, Madeira, Portugal.
conference name
Healthinf 2008
external identifiers
  • Scopus:57549104765
language
English
LU publication?
yes
id
8b63d695-c0be-48f4-85ba-041c6e93f90b (old id 948994)
date added to LUP
2008-01-25 08:48:30
date last changed
2017-01-01 08:01:57
@inproceedings{8b63d695-c0be-48f4-85ba-041c6e93f90b,
  abstract     = {In this article we evaluate the work out<br/><br>
of artificial neural networks as tools for helping and support in<br/><br>
the medical diagnosis. In particular we compare the usability of one<br/><br>
supervised and two unsupervised neural network architectures for<br/><br>
medical diagnoses of lower urinary tract dysfunctions. The purpose<br/><br>
is to develop a system that aid urologists in obtaining diagnoses,<br/><br>
which will yield improved diagnostic accuracy and lower medical<br/><br>
treatment costs. The clinical study has been carried out using the<br/><br>
medical registers of patients with dysfunctions in the lower urinary<br/><br>
tract. The current system is able to distinguish and classify<br/><br>
dysfunctions as areflexia, hyperreflexia, obstruction of the lower<br/><br>
urinary tract and patients free from dysfunction.},
  author       = {Gil Mendez, David and Johnsson, Magnus and Soriano Paya, A and Ruiz Fernandez, D},
  booktitle    = {[Host publication title missing]},
  language     = {eng},
  pages        = {191--196},
  publisher    = {Proceedings of Healthinf 2008, Madeira, Portugal.},
  title        = {Artificial Neural Networks for Diagnoses of Dysfunctions in Urology},
  year         = {2008},
}