Three‐stage classification of Alzheimer's disease in MRI in clinical records of the Mass General Brigham Health Care System

Diagnostic deep learning has frequently been applied to diagnosis of Alzheimer's and Mild Cognitive Impairment in brain MRIs collected in a controlled research setting, but due to the presence of confounding factors, similar methods have rarely been applied post‐hoc to clinical MRI. Data matching, or the matching of datasets across different classes with respect to a number of confounds, is a method of finding subsets of an overall dataset, that can be used to mitigate the confounding factor problem.