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

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

Abstract Background Predicting progression from a stage of Mild Cognitive Impairment to dementia is a major pursuit in current research. It is broadly accepted that cognition declines with a continuum between MCI and dementia. As such, cohorts of MCI patients are usually heterogeneous, containing pa...

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Bibliographic Details
Main Authors: Telma Pereira, Luís Lemos, Sandra Cardoso, Dina Silva, Ana Rodrigues, Isabel Santana, Alexandre de Mendonça, Manuela Guerreiro, Sara C. Madeira
Format: Article
Language:English
Published: BMC 2017-07-01
Series:BMC Medical Informatics and Decision Making
Subjects:
Neurodegenerative diseases
Mild cognitive impairment
Prognostic prediction
Time windows
Supervised learning
Neuropsychological data
Online Access:http://link.springer.com/article/10.1186/s12911-017-0497-2

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http://link.springer.com/article/10.1186/s12911-017-0497-2

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