Dina Silva

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

João Marôco, Dina Silva, Ana Pina Rodrigues et al. · BMC Research Notes · 2011 · 413 citations · Full text

Prevalence and prognosis of Alzheimer’s disease at the mild cognitive impairment stage

Stephanie J. B. Vos, Frans R.J. Verhey, Lutz Frölich et al. · Brain · 2015 · 384 citations · Full text

Biomarker-based prognosis for people with mild cognitive impairment (ABIDE): a modelling study

Ingrid S. van Maurik, Stephanie J. B. Vos, Isabelle Bos et al. · The Lancet Neurology · 2019 · 144 citations · Full text

Comparison of Four Verbal Memory Tests for the Diagnosis and Predictive Value of Mild Cognitive Impairment

Dina Silva, Manuela Guerreiro, João Marôco et al. · Dementia and Geriatric Cognitive Disorders Extra · 2012 · 67 citations · Full text

Predicting progression of mild cognitive impairment to dementia using neuropsychological data: a supervised learning approach using time windows

Telma Pereira, Luís Lemos, Sandra Cardoso et al. · BMC Medical Informatics and Decision Making · 2017 · 46 citations · Full text