Bigger Data, Better Sleep: A Machine Learning Approach to Predicting Sleep Outcomes in Older Adults

Although much research has described correlates of sleep outcomes, it remains unclear which factors are most predictive. Using a large, nationally-representative dataset, we implemented several supervised Machine Learning techniques to predict sleep quantity and sleep quality. Our models’ performance suggest that it is difficult to predict self-reported sleep outcomes.