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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

PaperCitations, authors & open-access status

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 is a paper indexed in ScholarIQ from OpenAlex. ScholarIQ records 447 citations, 2011 year and gold oa status.

447
Citations
2011
Year
gold
OA Status

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