Automated detection of ADHD: Current trends and future perspective
HW Loh, CP Ooi, PD Barua, EE Palmer… - Computers in Biology …, 2022 - Elsevier
Attention deficit hyperactivity disorder (ADHD) is a heterogenous disorder that has a
detrimental impact on the neurodevelopment of the brain. ADHD patients exhibit …
detrimental impact on the neurodevelopment of the brain. ADHD patients exhibit …
[HTML][HTML] Insight into ADHD diagnosis with deep learning on Actimetry: Quantitative interpretation of occlusion maps in age and gender subgroups
P Amado-Caballero, P Casaseca-de-la-Higuera… - Artificial Intelligence in …, 2023 - Elsevier
Abstract Attention Deficit/Hyperactivity Disorder (ADHD) is a prevalent neurodevelopmental
disorder in childhood that often persists into adulthood. Objectively diagnosing ADHD can …
disorder in childhood that often persists into adulthood. Objectively diagnosing ADHD can …
[HTML][HTML] Deep neural network technique for automated detection of ADHD and CD using ECG signal
HW Loh, CP Ooi, SL Oh, PD Barua, YR Tan… - Computer methods and …, 2023 - Elsevier
Abstract Background and objective Attention Deficit Hyperactivity problem (ADHD) is a
common neurodevelopment problem in children and adolescents that can lead to long-term …
common neurodevelopment problem in children and adolescents that can lead to long-term …
Computer aided diagnosis system using deep convolutional neural networks for ADHD subtypes
A Ahmadi, M Kashefi, H Shahrokhi… - … Signal Processing and …, 2021 - Elsevier
Background Attention deficit hyperactivity disorder (ADHD) is a ubiquitous
neurodevelopmental disorder affecting many children. Therefore, automated diagnosis of …
neurodevelopmental disorder affecting many children. Therefore, automated diagnosis of …
Diagnose ADHD disorder in children using convolutional neural network based on continuous mental task EEG
M Moghaddari, MZ Lighvan, S Danishvar - Computer Methods and …, 2020 - Elsevier
Abstract Background and objective Attention-Deficit/Hyperactivity Disorder (ADHD) is a
chronic behavioral disorder in children. Children with ADHD face many difficulties in …
chronic behavioral disorder in children. Children with ADHD face many difficulties in …
[HTML][HTML] ADHD-200 Global Competition: diagnosing ADHD using personal characteristic data can outperform resting state fMRI measurements
MRG Brown, GS Sidhu, R Greiner… - Frontiers in systems …, 2012 - frontiersin.org
Neuroimaging-based diagnostics could potentially assist clinicians to make more accurate
diagnoses resulting in faster, more effective treatment. We participated in the 2011 ADHD …
diagnoses resulting in faster, more effective treatment. We participated in the 2011 ADHD …
[HTML][HTML] Automated diagnoses of attention deficit hyperactive disorder using magnetic resonance imaging
A Eloyan, J Muschelli, MB Nebel, H Liu… - Frontiers in systems …, 2012 - frontiersin.org
Successful automated diagnoses of attention deficit hyperactive disorder (ADHD) using
imaging and functional biomarkers would have fundamental consequences on the public …
imaging and functional biomarkers would have fundamental consequences on the public …
[HTML][HTML] Kernel Principal Component Analysis for dimensionality reduction in fMRI-based diagnosis of ADHD
GS Sidhu, N Asgarian, R Greiner… - Frontiers in systems …, 2012 - frontiersin.org
This study explored various feature extraction methods for use in automated diagnosis of
Attention-Deficit Hyperactivity Disorder (ADHD) from functional Magnetic Resonance Image …
Attention-Deficit Hyperactivity Disorder (ADHD) from functional Magnetic Resonance Image …
ADHD classification using auto-encoding neural network and binary hypothesis testing
Y Tang, J Sun, C Wang, Y Zhong, A Jiang, G Liu… - Artificial Intelligence in …, 2022 - Elsevier
Abstract Attention Deficit Hyperactivity Disorder (ADHD) is a highly prevalent
neurodevelopmental disease of school-age children. Early diagnosis is crucial for ADHD …
neurodevelopmental disease of school-age children. Early diagnosis is crucial for ADHD …
[HTML][HTML] Deep learning based on event-related EEG differentiates children with ADHD from healthy controls
A Vahid, A Bluschke, V Roessner, S Stober… - Journal of clinical …, 2019 - mdpi.com
Attention Deficit Hyperactivity Disorder (ADHD) is one of the most prevalent neuropsychiatric
disorders in childhood and adolescence and its diagnosis is based on clinical interviews …
disorders in childhood and adolescence and its diagnosis is based on clinical interviews …