Individualized prediction models in ADHD: a systematic review and meta-regression
There have been increasing efforts to develop prediction models supporting personalised
detection, prediction, or treatment of ADHD. We overviewed the current status of prediction …
detection, prediction, or treatment of ADHD. We overviewed the current status of prediction …
Efficient Deep Learning Approach for Diagnosis of Attention-Deficit/Hyperactivity Disorder in Children Based on EEG Signals
Attention-deficit/hyperactivity disorder (ADHD) is a behavioral disorder in children that can
persist into adulthood if not treated. Early diagnosis of this condition is crucial for effective …
persist into adulthood if not treated. Early diagnosis of this condition is crucial for effective …
The classification of ADHD using machine learning and EEG data: a systematic review
A Rasi - 2024 - figshare.utas.edu.au
Attention deficit hyperactivity disorder (ADHD) is a neurodevelopmental disorder that spans
a diverse range of symptoms such as inattention, impulsiveness, and hyperactivity. The …
a diverse range of symptoms such as inattention, impulsiveness, and hyperactivity. The …