Predicting dementia development in Parkinson's disease using Bayesian network classifiers
DA Morales, Y Vives-Gilabert, B Gómez-Ansón… - Psychiatry Research …, 2013 - Elsevier
Parkinson's disease (PD) has broadly been associated with mild cognitive impairment
(PDMCI) and dementia (PDD). Researchers have studied surrogate, neuroanatomic
biomarkers provided by magnetic resonance imaging (MRI) that may help in the early
diagnosis of this condition. In this article, four classification models (naïve Bayes,
multivariate filter-based naïve Bayes, filter selective naïve Bayes and support vector
machines, SVM) have been applied to evaluate their capacity to discriminate between …
(PDMCI) and dementia (PDD). Researchers have studied surrogate, neuroanatomic
biomarkers provided by magnetic resonance imaging (MRI) that may help in the early
diagnosis of this condition. In this article, four classification models (naïve Bayes,
multivariate filter-based naïve Bayes, filter selective naïve Bayes and support vector
machines, SVM) have been applied to evaluate their capacity to discriminate between …