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Journal article

Mind the gap: performance metric evaluation in brain-age prediction

Abstract:

Estimating age based on neuroimaging-derived data has become a popular approach to developing markers for brain integrity and health. While a variety of machine-learning algorithms can provide accurate predictions of age based on brain characteristics, there is significant variation in model accuracy reported across studies. We predicted age in two population-based datasets, and assessed the effects of age range, sample size and age-bias correction on the model performance metrics Pearson's c...

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Publication status:
Published
Peer review status:
Peer reviewed

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Publisher copy:
10.1002/hbm.25837

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Publisher:
Wiley Publisher's website
Journal:
Human Brain Mapping Journal website
Publication date:
2022-03-21
Acceptance date:
2022-03-06
DOI:
ISSN:
1065-9471
Language:
English
Keywords:
Pubs id:
1242599
Local pid:
pubs:1242599
Deposit date:
2022-03-06

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