Predicting conversion in cognitively normal and mild cognitive impairment individuals with machine learning: Is the CSF status still relevant?

Key Points

• Conversion prediction achieved with machine learning techniques, indicating significant potential for early detection of cognitive decline.
• CSF status was evaluated as a predictor, with crucial implications for monitoring cognitive health.
• Observational analysis across diverse populations regroups cognitive profiles, enhancing prediction accuracy.
• Highlights the need for integrating machine learning into routine assessments of cognitive impairment.