Ontology highlight
ABSTRACT: Objective
Attention-deficit/hyperactivity disorder (ADHD) is a prevalent neurodevelopmental disorder in children and adolescents. Diagnoses of ADHD often rely on subjective ratings from parents and teachers. This study investigated the feasibility of using objective activity monitoring data collected through wearable activity trackers for ADHD diagnosis and monitoring in adolescents.Method
A longitudinal study was conducted involving Chinese adolescents ages 16 to 17 years. Data collected included objective measures (movement acceleration, heart rate, and sleep patterns from passive actigraphy) and subjective measures (parent and self-reported questionnaires). Machine learning models were developed using eXtreme Gradient Boosting (XGBoost) to compare various measures for AD
SUBMITTER: Jiang Z
PROVIDER: S-EPMC12684460 | biostudies-literature | 2025 Dec
REPOSITORIES: biostudies-literature