Diagnosis of dementia and its pathologies using Bayesian belief networks

Julie Cowie*, Lloyd Oteniya, Richard Coles

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contribution

3 Citations (Scopus)

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.

Original languageEnglish
Title of host publicationProceedings of the Eighth International Conference on Enterprise Information Systems
Editors Yannis Manolopoulos, Joaquim Filipe, Panos Constantopoulos, José Cordeiro
Pages291-295
Number of pages5
Volume1
DOIs
Publication statusPublished - 2006
Externally publishedYes
Event8th International Conference on Enterprise Information Systems - Paphos, Cyprus
Duration: 23 May 200627 May 2006
https://iceis.scitevents.org/iceis2006/ (Link to conference website)

Publication series

NameICEIS 2006 - 8th International Conference on Enterprise Information Systems, Proceedings
Volume1
ISSN (Print)2184-4992

Conference

Conference8th International Conference on Enterprise Information Systems
Abbreviated titleICEIS 2006
Country/TerritoryCyprus
CityPaphos
Period23/05/0627/05/06
Internet address

Keywords

  • Bayesian belief networks
  • dementia diagnosis

ASJC Scopus subject areas

  • Artificial Intelligence
  • Human-Computer Interaction
  • Information Systems
  • Software

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