Dementia prediction in the general population using clinically accessible variables: a proof‐of‐concept study using machine learning. The AGES‐Reykjavik Study

Early identification of dementia is crucial for prompt intervention and better outcomes for high‐risk individuals in the general population. The use of machine learning in dementia prediction has allowed for highly accurate models that could aid in early classification; however, they have focused on expensive predictors. Exploring predictors that are more accessible is crucial for the possible widespread use of machine learning models in clinical practice.