AIMC Topic: Attention Deficit Disorder with Hyperactivity

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Machine-Learning prediction of comorbid substance use disorders in ADHD youth using Swedish registry data.

Journal of child psychology and psychiatry, and allied disciplines Apr 1, 2020
BACKGROUND: Children with attention-deficit/hyperactivity disorder (ADHD) have a high risk for substance use disorders (SUDs). Early identification of at-risk youth would help allocate scarce resources for prevention programs.
Machine Learning Sweden Risk Factors Cross-Sectional Studies Humans Child Substance-Related Disorders Comorbidity Registries Adolescent Child, Preschool Attention Deficit Disorder with Hyperactivity
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Heterogeneity of executive function revealed by a functional random forest approach across ADHD and ASD.

NeuroImage. Clinical Mar 16, 2020
BACKGROUND: Those with autism spectrum disorder (ASD) and/or attention-deficit-hyperactivity disorder (ADHD) exhibit symptoms of hyperactivity and inattention, causing significant hardships for families and society. A potential mechanism involved in ...
Female Male Adolescent Attention Deficit Disorder with Hyperactivity Executive Function Child Magnetic Resonance Imaging Machine Learning Autism Spectrum Disorder Brain Humans
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Multimodal neuroimaging-based prediction of adult outcomes in childhood-onset ADHD using ensemble learning techniques.

NeuroImage. Clinical Mar 7, 2020
Attention-deficit/hyperactivity disorder (ADHD) is a highly prevalent and heterogeneous neurodevelopmental disorder, which is diagnosed using subjective symptom reports. Machine learning classifiers have been utilized to assist in the development of ...
Adult Male Child Humans Machine Learning Female Image Interpretation, Computer-Assisted Attention Deficit Disorder with Hyperactivity Magnetic Resonance Imaging Brain Mapping Multimodal Imaging
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DeepFMRI: End-to-end deep learning for functional connectivity and classification of ADHD using fMRI.

Journal of neuroscience methods Jan 27, 2020
BACKGROUND: Resting state fMRI has emerged as a popular neuroimaging method for automated recognition and classification of brain disorders. Attention Deficit Hyperactivity Disorder (ADHD) is one of the most common brain disorders affecting young chi...
Magnetic Resonance Imaging Humans Attention Deficit Disorder with Hyperactivity Child, Preschool Child Brain Deep Learning
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ADHD classification by dual subspace learning using resting-state functional connectivity.

Artificial intelligence in medicine Jan 13, 2020
As one of the most common neurobehavioral diseases in school-age children, Attention Deficit Hyperactivity Disorder (ADHD) has been increasingly studied in recent years. But it is still a challenge problem to accurately identify ADHD patients from he...
Humans Artificial Intelligence Magnetic Resonance Imaging Attention Deficit Disorder with Hyperactivity Male Algorithms Adolescent Brain Child Female
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Use of deep learning to detect personalized spatial-frequency abnormalities in EEGs of children with ADHD.

Journal of neural engineering Nov 19, 2019
OBJECTIVE: Attention-deficit/hyperactivity disorder (ADHD) is one of the most prevalent neurobehavioral disorders. Studies have tried to find the neural correlations of ADHD with electroencephalography (EEG). Due to the heterogeneity in the ADHD popu...
Electroencephalography Attention Deficit Disorder with Hyperactivity Humans Neural Networks, Computer Precision Medicine Deep Learning Female Child Male
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Using Recurrent Neural Networks to Compare Movement Patterns in ADHD and Normally Developing Children Based on Acceleration Signals from the Wrist and Ankle.

Sensors (Basel, Switzerland) Jul 3, 2019
Attention deficit and hyperactivity disorder (ADHD) is a neurodevelopmental condition that affects, among other things, the movement patterns of children suffering it. Inattention, hyperactivity and impulsive behaviors, major symptoms characterizing ...
Neural Networks, Computer Algorithms Female Adolescent Wearable Electronic Devices Accelerometry Humans Movement Male Ankle Case-Control Studies Attention Deficit Disorder with Hyperactivity Child Wrist Acceleration
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Towards interpretable machine learning models for diagnosis aid: A case study on attention deficit/hyperactivity disorder.

PloS one Apr 25, 2019
Attention Deficit/Hyperactivity Disorder (ADHD) is a neurodevelopmental disorder that has heavy consequences on a child's wellbeing, especially in the academic, psychological and relational planes. The current evaluation of the disorder is supported ...
Child Decision Trees Datasets as Topic Male Prognosis Humans Diagnostic and Statistical Manual of Mental Disorders Diagnosis, Computer-Assisted Female Machine Learning Attention Deficit Disorder with Hyperactivity Adolescent Limbic System
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EEG characteristics of children with attention-deficit/hyperactivity disorder.

Neuroscience Mar 26, 2019
The electroencephalogram (EEG) is an informative neuroimaging tool for studying attention-deficit/hyperactivity disorder (ADHD); one main goal is to characterize the EEG of children with ADHD. In this study, we employed the power spectrum, complexity...
Brain Waves Humans Attention Deficit Disorder with Hyperactivity Male Machine Learning Child Brain Female Electroencephalography
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Identifying disease genes using machine learning and gene functional similarities, assessed through Gene Ontology.

PloS one Dec 10, 2018
Identifying disease genes from a vast amount of genetic data is one of the most challenging tasks in the post-genomic era. Also, complex diseases present highly heterogeneous genotype, which difficult biological marker identification. Machine learnin...
Area Under Curve Autism Spectrum Disorder Humans Gene Ontology User-Computer Interface Machine Learning Attention Deficit Disorder with Hyperactivity ROC Curve Phenotype
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