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.
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Araújo de Castro, A.K., Pinheiro, P.R., Dantas Pinheiro, M.C. (2007). Applying a Decision Making Model in the Early Diagnosis of Alzheimer’s Disease. In: Yao, J., Lingras, P., Wu, WZ., Szczuka, M., Cercone, N.J., Ślȩzak, D. (eds) Rough Sets and Knowledge Technology. RSKT 2007. Lecture Notes in Computer Science(), vol 4481. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-72458-2_18
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DOI: https://doi.org/10.1007/978-3-540-72458-2_18
Publisher Name: Springer, Berlin, Heidelberg
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