A transfer learning approach based on gradient boosting machine for diagnosis of Alzheimer’s disease

A transfer learning approach based on gradient boosting machine for diagnosis of Alzheimer’s disease

Early detection of Alzheimer’s disease (AD) during the Mild Cognitive Impairment (MCI) stage could enable effective intervention to slow down disease progression. Computer-aided diagnosis of AD relies on a sufficient amount of biomarker data. When this requirement is not fulfilled, transfer learning...

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Bibliographic Details
Main Authors: Mehdi Shojaie, Mercedes Cabrerizo, Steven T. DeKosky, David E. Vaillancourt, David Loewenstein, Ranjan Duara, Malek Adjouadi
Format: Article
Language:English
Published: Frontiers Media S.A. 2022-10-01
Series:Frontiers in Aging Neuroscience
Subjects:
Alzheimer’s disease
transfer learning
machine-learning
classification
gradient boosting machine
data distribution
Online Access:https://www.frontiersin.org/articles/10.3389/fnagi.2022.966883/full

Internet

https://www.frontiersin.org/articles/10.3389/fnagi.2022.966883/full

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