Artificial Neural Networks for Diagnoses of Dysfunctions in Urology
(2008) Healthinf 2008 2. 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:
https://lup.lub.lu.se/record/948994
- author
- Gil Mendez, David ; Johnsson, Magnus LU ; Soriano Paya, A and Ruiz Fernandez, D
- organization
- publishing date
- 2008
- type
- Chapter in Book/Report/Conference proceeding
- publication status
- published
- subject
- host publication
- Proceedings of the First International Conference on Health Informatics
- editor
- Azevedo, Luis and Londral, Ana
- volume
- 2
- pages
- 6 pages
- publisher
- SciTePress
- conference name
- Healthinf 2008
- conference location
- Madeira, Portugal
- conference dates
- 2008-01-28 - 2008-01-31
- external identifiers
-
- scopus:57549104765
- ISBN
- 978-989-8111-16-6
- language
- English
- LU publication?
- yes
- id
- 8b63d695-c0be-48f4-85ba-041c6e93f90b (old id 948994)
- date added to LUP
- 2016-04-04 11:11:33
- date last changed
- 2022-02-06 06:53:53
@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 = {{Proceedings of the First International Conference on Health Informatics}},
editor = {{Azevedo, Luis and Londral, Ana}},
isbn = {{978-989-8111-16-6}},
language = {{eng}},
pages = {{191--196}},
publisher = {{SciTePress}},
title = {{Artificial Neural Networks for Diagnoses of Dysfunctions in Urology}},
volume = {{2}},
year = {{2008}},
}