Brain-Age Prediction Using Shallow Machine Learning: Predictive Analytics Competition 2019

Brain-Age Prediction Using Shallow Machine Learning: Predictive Analytics Competition 2019

As we age, our brain structure changes and our cognitive capabilities decline. Although brain aging is universal, rates of brain aging differ markedly, which can be associated with pathological mechanism of psychiatric and neurological diseases. Predictive models have been applied to neuroimaging da...

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Bibliographic Details
Main Authors:	Pedro F. Da Costa, Jessica Dafflon, Walter H. L. Pinaya
Format:	Article
Language:	English
Published:	Frontiers Media S.A. 2020-12-01
Series:	Frontiers in Psychiatry
Subjects:	brain-age shallow machine learning linear models genetic algorithm support vector machine
Online Access:	https://www.frontiersin.org/articles/10.3389/fpsyt.2020.604478/full

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