Automated and Unbiased Machine Learning Predictions of Alzheimer’s Risk Factors in an Ethnically Diverse Dataset using Cortical Thicknesses

Abstract

Background: The 2024 Lancet Commission identified 14 major risk factors contributing to 45% of dementia cases globally. Many relate to brain structure changes, potentially mediating brain health on the pathway to dementia. This study explores these factors using brain imaging measures in binary prediction tasks.