Small differences in population-level estimates across algorithmic classification are observed; however, these small differences may be important for understanding disparities across groups. Therefore, more work is needed 1) to understand for whom and which models are most accurately identifying dementia and 2) to place these models relative to gold-standard adjudicated dementia assessments.
Garcia et al. (Thu,) studied this question.