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2009 | OriginalPaper | Chapter

Applied Neuroimaging to the Diagnosis of Alzheimer’s Disease: A Multicriteria Model

Authors : Isabelle Tamanini, Ana Karoline de Castro, Plácido Rogério Pinheiro, Mirian Calíope Dantas Pinheiro

Published in: Best Practices for the Knowledge Society. Knowledge, Learning, Development and Technology for All

Publisher: Springer Berlin Heidelberg

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In the last few years, Alzheimer’s disease has been the most frequent cause of dementia and it is responsible, alone or in association with other diseases, for 50% of the cases in western countries. Dementias are syndromes characterized by a decline in memory and other neuropsychological changes, especially occurring in elderly people and increasing exponentially along the aging process. 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.

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Metadata
Title
Applied Neuroimaging to the Diagnosis of Alzheimer’s Disease: A Multicriteria Model
Authors
Isabelle Tamanini
Ana Karoline de Castro
Plácido Rogério Pinheiro
Mirian Calíope Dantas Pinheiro
Copyright Year
2009
Publisher
Springer Berlin Heidelberg
DOI
https://doi.org/10.1007/978-3-642-04757-2_57

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