Machine Learning-Based Prediction of Attention-Deficit/Hyperactivity Disorder and Sleep Problems With Wearable Data in Children

Early detection of attention-deficit/hyperactivity disorder (ADHD) and sleep problems is paramount for children's mental health. Interview-based diagnostic approaches have drawbacks, necessitating the development of an evaluation method that uses digital phenotypes in daily life. To evaluate th...

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Veröffentlicht in:	JAMA network open 2023-03, Vol.6 (3), p.e233502-e233502
Hauptverfasser:	Kim, Won-Pyo, Kim, Hyun-Jin, Pack, Seung Pil, Lim, Jae-Hyun, Cho, Chul-Hyun, Lee, Heon-Jeong
Format:	Artikel
Sprache:	eng
Schlagworte:	Attention Deficit Disorder with Hyperactivity - complications Attention Deficit Disorder with Hyperactivity - diagnosis Attention Deficit Disorder with Hyperactivity - epidemiology Attention deficit hyperactivity disorder Child Circadian Rhythm Female Humans Machine Learning Male Online Only Original Investigation Psychiatry Sleep Sleep Wake Disorders - diagnosis Sleep Wake Disorders - epidemiology Wearable Electronic Devices
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