Diagnosis of dementia and its pathologies using Bayesian belief networks

Julie Cowie, Lloyd Oteniya, Richard Coles

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

    2 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: DerriNet 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
    Place of PublicationSetubal, Portugal
    PublisherInstitute for Systems and Technologies of Information, Control and Communication
    Pages291-295
    Number of pages5
    ISBN (Print)9728865422
    Publication statusPublished - 2006
    Event8th International Conference on Enterprise Information Systems - Paphos, Cyprus
    Duration: 23 May 200627 May 2006
    http://www.iceis.org/ICEIS2006/

    Conference

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

    Cite this

    Cowie, J., Oteniya, L., & Coles, R. (2006). Diagnosis of dementia and its pathologies using Bayesian belief networks. In Proceedings of the Eighth International Conference on Enterprise Information Systems (pp. 291-295). Institute for Systems and Technologies of Information, Control and Communication.