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

The probability of attending school four our group of interest in this region increased by 6.5 percentage points after the expansion of the Bolsa Família program in 2007 and

Data regarding the sensitivity and specificity of arm circum- ference as an indicator of low birth weight are shown in Table 1... Sensitivity and specificity of

At the first stage of the measurements results analysis, the gear wheel cast surface image was compared with the casting mould 3D-CAD model (fig.. Next, the measurements results

The structure of the remelting zone of the steel C90 steel be- fore conventional tempering consitute cells, dendritic cells, sur- rounded with the cementite, inside of

social assistance. The protection of jobs within some enterprises, cooperatives, forms of economical associations, constitute an efficient social policy, totally different from

In this study, we have evaluated the Functional Link Artificial Neural Network (FLANN) model for the task of pattern classification in data mining.. The FLANN model

According to the psychometric data on internal and external consistency (reliability and reproducibility), sensitivity, specificity and accuracy, the parent-rated

The high values of sensitivity, specificity and overall accuracy for the most frequent early graft complications in this series of renal transplants can be explained because all