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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Bibliographic Details

Published in:	Applied neuropsychology. Adult pp. 1 - 15
Main Authors:	Deshmukh, Manjusha, Khemchandani, Mahi, Thakur, Paramjit Mahesh
Format:	Journal Article
Language:	English
Published:	United States 08.07.2024
Subjects:	electroencephalography machine learning Attention deficit hyperactivity disorder supervised learning algorithm channels on brain
ISSN:	2327-9095, 2327-9109, 2327-9109
Online Access:	Get full text
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