AIMC Topic: Attention Deficit Disorder with Hyperactivity

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Use of machine learning to classify adult ADHD and other conditions based on the Conners' Adult ADHD Rating Scales.

Scientific reports Nov 2, 2020
A reliable diagnosis of adult Attention Deficit/Hyperactivity Disorder (ADHD) is challenging as many of the symptoms of ADHD resemble symptoms of other disorders. ADHD is associated with gambling disorder and obesity, showing overlaps of about 20% wi...
Humans Male Psychiatric Status Rating Scales Mass Screening Attention Deficit Disorder with Hyperactivity Machine Learning Female Adult
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BrainNET: Inference of Brain Network Topology Using Machine Learning.

Brain connectivity Oct 8, 2020
To develop a new functional magnetic resonance image (fMRI) network inference method, BrainNET, that utilizes an efficient machine learning algorithm to quantify contributions of various regions of interests (ROIs) in the brain to a specific ROI. B...
Brain Mapping Neural Pathways Attention Deficit Disorder with Hyperactivity Child Image Processing, Computer-Assisted Magnetic Resonance Imaging Algorithms Humans Brain Machine Learning Computer Simulation Male Female Sensitivity and Specificity Adolescent
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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.
Risk Factors Cross-Sectional Studies Comorbidity Adolescent Humans Machine Learning Sweden Registries Child, Preschool Attention Deficit Disorder with Hyperactivity Child Substance-Related Disorders
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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 ...
Autism Spectrum Disorder Brain Humans Machine Learning Female Child Attention Deficit Disorder with Hyperactivity Male Magnetic Resonance Imaging Executive Function Adolescent
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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 ...
Attention Deficit Disorder with Hyperactivity Brain Mapping Multimodal Imaging Humans Image Interpretation, Computer-Assisted Machine Learning Female Child Magnetic Resonance Imaging Adult Male
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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...
Child, Preschool Child Magnetic Resonance Imaging Attention Deficit Disorder with Hyperactivity Humans 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...
Brain Female Male Magnetic Resonance Imaging Attention Deficit Disorder with Hyperactivity Adolescent Child Humans Artificial Intelligence Algorithms
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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...
Child Electroencephalography Attention Deficit Disorder with Hyperactivity Precision Medicine Female Male Deep Learning Humans Neural Networks, Computer
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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 ...
Attention Deficit Disorder with Hyperactivity Female Male Case-Control Studies Acceleration Humans Movement Wearable Electronic Devices Adolescent Accelerometry Neural Networks, Computer Ankle Child Algorithms Wrist
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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 ...
Adolescent Child Decision Trees Humans Attention Deficit Disorder with Hyperactivity Female Datasets as Topic Machine Learning Limbic System Male Diagnostic and Statistical Manual of Mental Disorders Prognosis Diagnosis, Computer-Assisted
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