Objective approach to diagnosing attention deficit hyperactivity disorder by using pixel subtraction and machine learning classification of outpatient consultation videos

Objective approach to diagnosing attention deficit hyperactivity disorder by using pixel subtraction and machine learning classification of outpatient consultation videos

Abstract Background Attention deficit hyperactivity disorder (ADHD) is a common childhood neurodevelopmental disorder, affecting between 5% and 7% of school-age children. ADHD is typically characterized by persistent patterns of inattention or hyperactivity–impulsivity, and it is diagnosed on the ba...

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Bibliographic Details
Main Authors: Yi-Hung Chiu, Ying-Han Lee, San-Yuan Wang, Chen-Sen Ouyang, Rong-Ching Wu, Rei-Cheng Yang, Lung-Chang Lin
Format: Article
Language:English
Published: BMC 2024-12-01
Series:Journal of Neurodevelopmental Disorders
Subjects:
Attention deficit hyperactivity disorder
Video analysis
Pixel subtraction
Machine learning
Swanson
Nolan
Online Access:https://doi.org/10.1186/s11689-024-09588-z

Internet

https://doi.org/10.1186/s11689-024-09588-z

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