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

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

Abstract 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 batt...

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Bibliographic Details
Main Authors: Telma Pereira, Francisco L. Ferreira, Sandra Cardoso, Dina Silva, Alexandre de Mendonça, Manuela Guerreiro, Sara C. Madeira, for the Alzheimer’s Disease Neuroimaging Initiative
Format: Article
Language:English
Published: BMC 2018-12-01
Series:BMC Medical Informatics and Decision Making
Subjects:
Feature selection
Ensemble learning
Mild cognitive impairment
Alzheimer’s disease
Prognostic prediction
Neuropsychological data
Online Access:http://link.springer.com/article/10.1186/s12911-018-0710-y

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http://link.springer.com/article/10.1186/s12911-018-0710-y

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