Quantifying generalization error in machine learning prediction of cognitive decline.

Predicting cognitive decline as a continuum, from healthy age-related decline to mild cognitive impairment and dementia, enables more precise individual-level predictions.

This study investigated whether adding structural magnetic resonance imaging (magnetic resonance imaging) to non-brain data improved machine learning predictions of continuous cognitive decline and analyzed the models' generalizability.