Cargando…
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...
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 |
Ejemplares similares
-
Construction data mining methods in the prediction of death in hemodialysis patients using support vector machine, neural network, logistic regression and decision tree
por: KHAZAEI, SALMAN, et al.
Publicado: (2021) -
Modelling, mapping and monitoring of forest cover changes, using support vector machine, kernel logistic regression and naive bayes tree models with optical remote sensing data
por: Tariq, Aqil, et al.
Publicado: (2023) -
Log-linear models and logistic regression
por: Christensen, Ronald, 1951-
Publicado: (1997) -
Log-linear models and logistic regression
por: Christensen, Ronald
Publicado: (1997) -
Factors related to pediatric unintentional burns: the comparison of logistic regression and data mining algorithms
por: Aghaei, Abbas, et al.
Publicado: (2019)