Mind the gap: performance metric evaluation in brain-age prediction
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...Expand abstract
- Publication status:
- Peer review status:
- Peer reviewed
- Copyright holder:
- de Lange et al.
- Copyright date:
- Rights statement:
- ©2022 The Authors. Human Brain Mapping published by Wiley Periodicals LLC. This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
- CC Attribution (CC BY)
If you are the owner of this record, you can report an update to it here: Report update to this record