DETEC-ADHD: A Data-Driven Web App for Early ADHD Detection Using Machine Learning and Electroencephalography

DETEC-ADHD: A Data-Driven Web App for Early ADHD Detection Using Machine Learning and Electroencephalography

Attention Deficit Hyperactivity Disorder (ADHD) diagnosis is often challenging due to subjective assessments and symptom variability, which can delay accurate detection and treatment. To address these limitations, this study introduces DETEC-ADHD, a web-based application that combines machine learni...

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Bibliographic Details
Main Authors: Ismael Santarrosa-López, Giner Alor-Hernández, Maritza Bustos-López, Jonathan Hernández-Capistrán, Laura Nely Sánchez-Morales, José Luis Sánchez-Cervantes, Humberto Marín-Vega
Format: Article
Language:English
Published: MDPI AG 2024-12-01
Series:Big Data and Cognitive Computing
Subjects:
ADHD
EEG
machine learning
neurofeedback
wearables
Online Access:https://www.mdpi.com/2504-2289/9/1/3
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