Random forest model for feature-based Alzheimer's disease conversion prediction from early mild cognitive impairment subjects.

Alzheimer's Disease (AD) conversion prediction from the mild cognitive impairment (MCI) stage has been a difficult challenge. This study focuses on providing an individualized MCI to AD conversion prediction using a balanced random forest model that leverages clinical data. In order to do this,...

Disgrifiad llawn

Manylion Llyfryddiaeth
Prif Awduron: Matthew Velazquez, Yugyung Lee, Alzheimer’s Disease Neuroimaging Initiative
Fformat: Erthygl
Iaith:English
Cyhoeddwyd: Public Library of Science (PLoS) 2021-01-01
Cyfres:PLoS ONE
Mynediad Ar-lein:https://doi.org/10.1371/journal.pone.0244773