# Machine Learning–Based Prediction of Attention-Deficit/Hyperactivity Disorder and Sleep Problems With Wearable Data in Children - What is ADHD? How is it diagnosed? [[Sleep]] #heart_rate [[heart_Rate DP]] - In this study, the patients with ADHD showed shorter sleep times and higher intensities of daytime activity compared with the controls. The problems of attention, arousal, and sleep control of patients with ADHD share some common features regarding neuroanatomical functions.33-35 - However, children with sleep problems napped longer, were more sedentary, and engaged in less vigorous activity than those in the control group. This finding suggests that the sleep problem diagnoses show digital phenotypes that contradict circadian and homeostatic physiologic processes.37 - We found that many of the top-ranked features for ADHD prediction were variables related to heart rate. Heart rate is one of the indicators that can estimate autonomic nervous system activity42,43; an increase in mean heart rate reflects the relative dominance of the sympathetic nervous system.44 - The highest-ranked features for predicting sleep problems were variables related to nap and activity patterns.