loading
Papers Papers/2022 Papers Papers/2022

Research.Publish.Connect.

Paper

Paper Unlock

Authors: David Gil Mendez 1 ; Magnus Johnsson 2 ; Antonio Soriano Paya 1 and Daniel Ruiz Fernandez 1

Affiliations: 1 Computing Technology and Data Processing, University of Alicante, Spain ; 2 Lund University, Sweden

Keyword(s): Artificial neural networks, urology, artificial intelligence, medical diagnosis, decision support systems.

Related Ontology Subjects/Areas/Topics: Artificial Intelligence ; Biomedical Engineering ; Decision Support Systems ; Expert Systems ; Health Information Systems ; Knowledge Engineering and Ontology Development ; Knowledge-Based Systems ; Symbolic Systems

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 areflexia, hyperreflexia, obstruction of the lower urinary tract and patients free from dysfunction.

CC BY-NC-ND 4.0

Sign In Guest: Register as new SciTePress user now for free.

Sign In SciTePress user: please login.

PDF ImageMy Papers

You are not signed in, therefore limits apply to your IP address 54.210.224.114

In the current month:
Recent papers: 100 available of 100 total
2+ years older papers: 200 available of 200 total

Paper citation in several formats:
Gil Mendez, D.; Johnsson, M.; Soriano Paya, A. and Ruiz Fernandez, D. (2008). ARTIFICIAL NEURAL NETWORKS FOR DIAGNOSES OF DYSFUNCTIONS IN UROLOGY. In Proceedings of the First International Conference on Health Informatics (BIOSTEC 2008) - Volume 2: HEALTHINF; ISBN 978-989-8111-16-6; ISSN 2184-4305, SciTePress, pages 191-196. DOI: 10.5220/0001039001910196

@conference{healthinf08,
author={David {Gil Mendez}. and Magnus Johnsson. and Antonio {Soriano Paya}. and Daniel {Ruiz Fernandez}.},
title={ARTIFICIAL NEURAL NETWORKS FOR DIAGNOSES OF DYSFUNCTIONS IN UROLOGY},
booktitle={Proceedings of the First International Conference on Health Informatics (BIOSTEC 2008) - Volume 2: HEALTHINF},
year={2008},
pages={191-196},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0001039001910196},
isbn={978-989-8111-16-6},
issn={2184-4305},
}

TY - CONF

JO - Proceedings of the First International Conference on Health Informatics (BIOSTEC 2008) - Volume 2: HEALTHINF
TI - ARTIFICIAL NEURAL NETWORKS FOR DIAGNOSES OF DYSFUNCTIONS IN UROLOGY
SN - 978-989-8111-16-6
IS - 2184-4305
AU - Gil Mendez, D.
AU - Johnsson, M.
AU - Soriano Paya, A.
AU - Ruiz Fernandez, D.
PY - 2008
SP - 191
EP - 196
DO - 10.5220/0001039001910196
PB - SciTePress