Individual subject classification for Alzheimer's disease based on incremental learning using a spatial frequency representation of cortical thickness data

► Presents an incremental method for AD classification using cortical thickness data. ► Achieves robustness to noises by filtering out high frequency components. ► High classification accuracy in both AD diagnosis and AD prediction.