Neuropsychological predictors of conversion from mild cognitive impairment to Alzheimer’s disease: a feature selection ensemble combining stability and predictability

Background Predicting progression from Mild Cognitive Impairment (MCI) to Alzheimer’s Disease (AD) is an utmost open issue in AD-related research. Neuropsychological assessment has proven to be useful in identifying MCI patients who are likely to convert to dementia. However, the large battery of ne...

Full description

Bibliographic Details
Main Author: Pereira, Telma (author)
Other Authors: Ferreira, Francisco L. (author), Cardoso, Sandra (author), Silva, Dina (author), Mendonça, Alexandre de (author), Guerreiro, Manuela (author), Madeira, Sara C. (author)
Format: article
Language:eng
Published: 2019
Subjects:
Feature selection;
Neuropsychological data
Time windows
Mild cognitive impairment
Prognostic prediction
Alzheimer's disease
Ensemble learning
Online Access:http://hdl.handle.net/10400.1/12285
Country:Portugal
Oai:oai:sapientia.ualg.pt:10400.1/12285

Internet

http://hdl.handle.net/10400.1/12285

Similar Items