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Data mining methods in the prediction of Dementia: A real-data comparison of the accuracy, sensitivity and specificity of linear discriminant analysis, logistic regression, neural networks, support vector machines, classification trees and random forests

BACKGROUND: Dementia and cognitive impairment associated with aging are a major medical and social concern. Neuropsychological testing is a key element in the diagnostic procedures of Mild Cognitive Impairment (MCI), but has presently a limited value in the prediction of progression to dementia. We...

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Detalles Bibliográficos
Autores principales: Maroco, João, Silva, Dina, Rodrigues, Ana, Guerreiro, Manuela, Santana, Isabel, de Mendonça, Alexandre
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2011
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3180705/
https://www.ncbi.nlm.nih.gov/pubmed/21849043
http://dx.doi.org/10.1186/1756-0500-4-299

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