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Tsuyoshi Ono

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Open access Oct 2026

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...

Ayuto Kodama, Takako Ohnuma, Kana Sasaki et al. · 0 citations

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