DIAGNOSIS OF DEMENTIA AND ITS PATHOLOGIES USING BAYESIAN BELIEF NETWORKS

Julie Cowie, Lloyd Oteniya, Richard Coles

2006

Abstract

The use of artificial intelligence techniques in medical decision support systems is becoming more commonplace. By incorporating a method to represent expert knowledge, such systems can aid the user in aspects such as disease diagnosis and treatment planning. This paper reports on the first part of a project addressing the diagnosis of individuals with dementia. We discuss two systems: DemNet and PathNet; developed to aid accurate diagnosis both of the presence of dementia, and the pathology of the disease.

Paper Citation

in Harvard Style

Cowie J., Oteniya L. and Coles R. (2006). DIAGNOSIS OF DEMENTIA AND ITS PATHOLOGIES USING BAYESIAN BELIEF NETWORKS . In Proceedings of the Eighth International Conference on Enterprise Information Systems - Volume 2: ICEIS, ISBN 978-972-8865-42-9, pages 291-295. DOI: 10.5220/0002441802910295

in Bibtex Style

@conference{iceis06,
author={Julie Cowie and Lloyd Oteniya and Richard Coles},
title={DIAGNOSIS OF DEMENTIA AND ITS PATHOLOGIES USING BAYESIAN BELIEF NETWORKS},
booktitle={Proceedings of the Eighth International Conference on Enterprise Information Systems - Volume 2: ICEIS,},
year={2006},
pages={291-295},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0002441802910295},
isbn={978-972-8865-42-9},
}

in EndNote Style

TY - CONF
JO - Proceedings of the Eighth International Conference on Enterprise Information Systems - Volume 2: ICEIS,
TI - DIAGNOSIS OF DEMENTIA AND ITS PATHOLOGIES USING BAYESIAN BELIEF NETWORKS
SN - 978-972-8865-42-9
AU - Cowie J.
AU - Oteniya L.
AU - Coles R.
PY - 2006
SP - 291
EP - 295
DO - 10.5220/0002441802910295