Applying a decision making model in the early diagnosis of Alzheimer's disease

  • Authors:
  • Ana Karoline Araújo De Castro;Plácido Rogério Pinheiro;Mirian Caliope Dantas Pinheiro

  • Affiliations:
  • Applied Computer Sciences, University of Fortaleza, Fortaleza, Ceará, Brazil;Applied Computer Sciences, University of Fortaleza, Fortaleza, Ceará, Brazil;Applied Computer Sciences, University of Fortaleza, Fortaleza, Ceará, Brazil

  • Venue:
  • RSKT'07 Proceedings of the 2nd international conference on Rough sets and knowledge technology
  • Year:
  • 2007

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Abstract

This study considers the construction of a multicriteria model to assist in the early diagnosis of Alzheimer's disease. Alzheimer's disease is considered the most frequent of the dementias and it is responsible for about 50% of the cases. Due to this fact and the therapeutical limitations in the most advanced stage of the disease, early diagnosis of Alzheimer's disease is extremely important and it can provide better life conditions to patients and their families.