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Story summary
- A 6-month follow-up plan for dietary intake and cognitive functioning was implemented via a mobile app.
- Machine learning, including random forest classifiers and K-Means clustering, predicted cognitive impairment and analyzed dietary adherence.
- Cognitive assessments used MMSE and MoCA to increase sensitivity for detecting decline.
- Linear mixed-effect models tracked five-year variability, with multiple-comparison corrections across cognitive and biomarker outcomes.
