• DocumentCode
    506660
  • Title

    Towards an applied multicriteria model to the diagnosis of Alzheimer´s disease: A neuroimaging study case

  • Author

    Tamanini, Isabelle ; De Castro, Ana Karoline ; Pinheiro, Placido R. ; Pinheiro, M.C.D.

  • Author_Institution
    Grad. Program in Appl. Comput. Sci., Univ. of Fortaleza (UNIFOR), Fortaleza, Brazil
  • Volume
    3
  • fYear
    2009
  • fDate
    20-22 Nov. 2009
  • Firstpage
    652
  • Lastpage
    656
  • Abstract
    The Alzheimer´s disease has become the most frequent cause of dementia in the last few years, and it is responsible, alone or in association with other diseases, for 50% of the cases in western countries. The main focus of this work is to develop a multicriteria model for aiding in decision making on the diagnosis of Alzheimer´s disease by using the Aranau Tool, structured on the Verbal Decision Analysis. In this work, the modeling and evaluation processes were conducted with the aid of a medical expert, bibliographic sources and questionnaires. The questionnaires taken into account were based mainly on patients´ neuroimaging tests, and we analyzed wheter or not there were problems in the patients´ brain that could be relevant to the diagnosis of Alzheimer´s disease.
  • Keywords
    decision making; medical expert systems; neurophysiology; operations research; Alzheimers disease diagnosis; Aranau tool; aiding decision making; applied multicriteria model; bibliographic questionnaires; bibliographic sources; dementia; medical expert aid; multicriteria model development; neuroimaging study case; neuroimaging tests; verbal decision analysis; Alzheimer´s disease; Batteries; Decision making; Dementia; Demography; Hippocampus; Medical diagnostic imaging; Neuroimaging; Senior citizens; Testing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Computing and Intelligent Systems, 2009. ICIS 2009. IEEE International Conference on
  • Conference_Location
    Shanghai
  • Print_ISBN
    978-1-4244-4754-1
  • Electronic_ISBN
    978-1-4244-4738-1
  • Type

    conf

  • DOI
    10.1109/ICICISYS.2009.5358087
  • Filename
    5358087