Developing System-Based Artificial Intelligence Models for Detecting the Deficit Hyperactivity Disorder

Developing System-Based Artificial Intelligence Models for Detecting the Deficit Hyperactivity Disorder

This study presents a novel methodology for automating the classification of pediatric ADHD using electroencephalogram (EEG) biomarkers through machine learning and deep learning techniques. The primary objective is to develop accurate EEG-based screening tools to aid clinical diagnosis and enable e...

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Bibliographic Details
Main Authors: Hasan Alkahtani, Theyazn H. H. Aldhyani, Zeyad A. T. Ahmed, Ahmed Abdullah Alqarni
Format: Article
Language:English
Published: MDPI AG 2023-11-01
Series:Mathematics
Subjects:
artificial intelligence
machine learning
deep learning
electroencephalogram
hyperactivity disorder
Online Access:https://www.mdpi.com/2227-7390/11/22/4698

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https://www.mdpi.com/2227-7390/11/22/4698

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