title: Verbal decision analysis applied on the optimization of Alzheimer's disease diagnosis: a case study based on neuroimaging.
abstract: There is a great challenge in identifying the early diagnosis of the Alzheimer's disease, which has become the most frequent cause of dementia in the last few years, being responsible for 50% of the cases in western countries. The main focus of the work is the development of a multicriteria model for aiding in the decision making on the diagnosis of the Alzheimer's disease. It will be made by means of the Aranaú Tool, a decision support system mainly based on the ZAPROS method. The modeling and evaluation processes were conducted based on bibliographic sources, questionnaires, and on information given by a medical expert. The questionnaires analyzed were based mainly on patients' neuroimaging tests and were tried under various relevant aspects to the diagnosis of the disease.
authors: Graduate Program in Applied Computer Sciences, University of Fortaleza (UNIFOR), Av. Washington Soares, 1321 - Bl J Sl 30, 60.811-905, Fortaleza, Brazil. isabelle.tamanini@gmail.com
authors: Isabelle
authors: I
authors: Tamanini
authors: Ana Karoline
authors: AK
authors: de Castro
authors: Plácido Rogério
authors: PR
authors: Pinheiro
authors: Mirian Calíope Dantas
authors: MC
authors: Pinheiro
mesh_terms: D000368:Aged; D000544:Alzheimer Disease / Q000175:diagnosis* / Q000473:pathology; D019295:Computational Biology; D003198:Computer Simulation; D003661:Decision Support Techniques; D003936:Diagnosis, Computer-Assisted; D006801:Humans; D008959:Models, Neurological; D011795:Surveys and Questionnaires