Identifying Mild Cognitive Impairment from Routinely Collected Physical, Functional and Psychosocial Measures in Community-Dwelling Older Adults: A Comparative Machine-Learning and Regression Modelling Study in the Northern Japanese ORANGE Registry
Background: Community health check-ups routinely collect non-cognitive data. Whether these support mild cognitive impairment (MCI) triage, and whether machine learning outperforms regression, is unclear. Methods: Cross-sectional analysis of 2650 community-dwelling adults aged ≥65 in Akita, Japan (2018–2025). MCI was de...