Predictive Modeling of Cognitive Aging: A Cross-Cultural Analysis using Machine Learning Techniques.

The study will specifically focus on the aging populations in the United States and Mexico, with an emphasis on analyzing and comparing the impact of life-course factors on cognitive health in these diverse groups. In the U.S., particular attention will be given to the Mexican-American population, a significant and growing demographic group. This focus not only provides a deeper understanding of the cognitive aging process in a major minoritized group but also offers a unique opportunity to explore the cross-cultural nuances in the predictors of cognitive health. The inclusion of data from Mexico further enriches this comparison by incorporating perspectives from a developing country, where educational and occupational experiences might differ significantly from those in the U.S.