Using high-dimensional machine learning methods to estimate an anatomical risk factor for Alzheimer's disease across imaging databases
DiscussionWe applied a high-dimensional machine learning approach to estimate a novel AD risk factor for WHIMS-MRI study participants using ADNI data. The GM AD-PS scores showed strong associations with incident cognitive impairment and cross-sectional and longitudinal associations with age, cognitive function, cognitive status and WM SVID volume lending support to the ongoing validation of the GM AD-PS score.
Source: NeuroImage - Category: Neuroscience Source Type: research
More News: Alzheimer's | Brain | Databases & Libraries | Learning | MRI Scan | Neurology | Neuroscience | PET Scan | Study | Universities & Medical Training | Women