Machine Learning in ADHD and Depression Mental Health Diagnosis: A Survey
Author:
Affiliation:
1. Intelligent Sensing and Communications Group, School of Engineering, Newcastle University, Newcastle upon Tyne, U.K.
2. Adult ADHD Services, Cumbria, Northumberland, Tyne and Wear, NHS Foundation Trust, Newcastle upon Tyne, U.K.
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering
Link
http://xplorestaging.ieee.org/ielx7/6287639/10005208/10214293.pdf?arnumber=10214293
Reference153 articles.
1. A New Method of Diagnosing Attention-Deficit Hyperactivity Disorder in Male Patients by Quantitative EEG Analysis
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3. A Big-Data-Analytics Framework for Supporting Classification of ADHD and Healthy Children via Principal Component Analysis of EEG Sleep Spindles Power Spectra
4. Mutual information analysis of EEG of children with attention-deficit/hyperactivity disorder
5. Objective ADHD Diagnosis Using Convolutional Neural Networks Over Daily-Life Activity Records
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3. Depression Detection Using Multimodal Analysis with Chatbot Support;2024 2nd International Conference on Disruptive Technologies (ICDT);2024-03-15
4. Integrative Approaches for Understanding and Characterizing ADHD;Advances in Medical Technologies and Clinical Practice;2024-02-23
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