Diagnosis of Attention Deficit Hyperactivity Disorder with Machine Learning Methods: A Systemic Review
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REVIEW
P: 179-185
November 2024

Diagnosis of Attention Deficit Hyperactivity Disorder with Machine Learning Methods: A Systemic Review

Turk J Child Adolesc Ment Health 2024;31(3):179-185
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Received Date: 23.05.2022
Accepted Date: 29.07.2022
Online Date: 25.11.2024
Publish Date: 25.11.2024
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ABSTRACT

Attention deficit hyperactivity disorder (ADHD) is a common neuro-developmental disorder in the community. The gold standard for diagnosis is clinician evaluation. In contrast, with the increase in technological developments, the number of studies on the use of machine learning (ML) in the diagnosis of this disorder is increasing. Studies have mainly focused on electroencephalogram and imaging methods. However, to our knowledge, no studies up to now integrated studies using various methods related to this issue. The purpose of this review was to provide information about the increasing body of literature and current studies on ADHD and ML in children and adolescents, summarize important studies, and offer suggestions for future studies on ML.

Keywords:
Attention deficit, hyperactivity, machine learning, review