Contributions of brain regions to machine learning-based classifications of attention deficit hyperactivity disorder (ADHD) utilizing EEG signals

The study presented focuses on the creation of a machine learning (ML) model that uses electrophysiological (EEG) data to identify kids with attention deficit hyperactivity disorder (ADHD) from healthy controls. The EEG signals are acquired during cognitive tasks to distinguish children with ADHD fr...

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Vydané v:	Applied neuropsychology. Adult s. 1 - 15
Hlavní autori:	Deshmukh, Manjusha, Khemchandani, Mahi, Thakur, Paramjit Mahesh
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	United States 08.07.2024
Predmet:	electroencephalography machine learning Attention deficit hyperactivity disorder supervised learning algorithm channels on brain
ISSN:	2327-9095, 2327-9109, 2327-9109
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