Machine learning analysis identifies key predictors of cognitive function in older adults, suggesting targeted interventions may reduce dementia risk.
Age and education were the strongest predictors of cognitive function, while modifiable factors-including oral health, depression, social engagement, and IADL performance-played significant roles across subgroups. This interpretable machine learning approach revealed nuanced patterns of predictor importance across cognitive status, age, and sex, underscoring the value of targeted interventions to reduce dementia risk in aging populations.
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Sohn et al. (2025) studied this question.
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