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Diagnosis of dementia and its pathologies using Bayesian belief networks

Diagnosis of dementia and its pathologies using Bayesian belief networks

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

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Authors

  • Julie Cowie
  • Lloyd Oteniya
  • Richard Coles

Research units

Info

Original languageEnglish
TitleProceedings of the Eighth International Conference on Enterprise Information Systems
Place of publicationSetubal, Portugal
PublisherInstitute for Systems and Technologies of Information, Control and Communication
Publication date2006
Pages291-295
Number of pages5
ISBN (Print)9728865422
StatePublished

Conference

Conference8th International Conference on Enterprise Information Systems
CountryCyprus
CityPaphos
Period23/05/0627/05/06
Internet addresshttp://www.iceis.org/ICEIS2006/

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: DerriNet and PathNet; developed to aid accurate diagnosis both of the presence of dementia, and the pathology of the disease.

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