Artificial Neural Networks for Diagnoses of Dysfunctions in Urology
Författare
Redaktör
- Luis Azevedo
- Ana Londral
Summary, in English
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.
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.
Avdelning/ar
Publiceringsår
2008
Språk
Engelska
Sidor
191-196
Publikation/Tidskrift/Serie
Proceedings of the First International Conference on Health Informatics
Volym
2
Dokumenttyp
Konferensbidrag
Förlag
SciTePress
Ämne
- Computer Vision and Robotics (Autonomous Systems)
Conference name
Healthinf 2008
Conference date
2008-01-28 - 2008-01-31
Conference place
Madeira, Portugal
Status
Published
ISBN/ISSN/Övrigt
- ISBN: 978-989-8111-16-6