Explainable and Personalized Digital Cognitive Stimulation for Older Adults Using AI-Based Adaptive Modeling

This dataset contains anonymized information from 150 older adults who participated in a 24-week longitudinal study on personalized cognitive stimulation using a digital platform powered by explainable artificial intelligence. It includes variables such as experimental group, gender, age, educational level, initial and final cognitive scores, as well as absolute and percentage improvements in performance. The purpose of the dataset is to facilitate replication of analyses, validation of predictive models, and statistical exploration of digital interventions for healthy aging.