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Authors: Julie Cowie 1 ; Lloyd Oteniya 1 and Richard Coles 2

Affiliations: 1 University of Stirling, United Kingdom ; 2 Kildean Hospital, United Kingdom

Keyword(s): Bayesian Belief Networks, Dementia Diagnosis.

Related Ontology Subjects/Areas/Topics: Applications of Expert Systems ; Artificial Intelligence ; Artificial Intelligence and Decision Support Systems ; Bayesian Networks ; Enterprise Information Systems ; Soft Computing

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.

CC BY-NC-ND 4.0

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Paper citation in several formats:
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 1: ICEIS; ISBN 978-972-8865-42-9; ISSN 2184-4992, SciTePress, pages 291-295. DOI: 10.5220/0002441802910295

@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 1: ICEIS},
year={2006},
pages={291-295},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0002441802910295},
isbn={978-972-8865-42-9},
issn={2184-4992},
}

TY - CONF

JO - Proceedings of the Eighth International Conference on Enterprise Information Systems - Volume 1: ICEIS
TI - DIAGNOSIS OF DEMENTIA AND ITS PATHOLOGIES USING BAYESIAN BELIEF NETWORKS
SN - 978-972-8865-42-9
IS - 2184-4992
AU - Cowie, J.
AU - Oteniya, L.
AU - Coles, R.
PY - 2006
SP - 291
EP - 295
DO - 10.5220/0002441802910295
PB - SciTePress