AIMC Topic: Attention Deficit Disorder with Hyperactivity

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Crowdsourced validation of a machine-learning classification system for autism and ADHD.

Translational psychiatry May 16, 2017
Autism spectrum disorder (ASD) and attention deficit hyperactivity disorder (ADHD) together affect >10% of the children in the United States, but considerable behavioral overlaps between the two disorders can often complicate differential diagnosis. ...
Humans Machine Learning Algorithms Adolescent Child, Preschool Child United States Autism Spectrum Disorder Female Male Risk Assessment Diagnosis, Differential Autistic Disorder Attention Deficit Disorder with Hyperactivity Crowdsourcing Child Behavior
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Multiclass Classification for the Differential Diagnosis on the ADHD Subtypes Using Recursive Feature Elimination and Hierarchical Extreme Learning Machine: Structural MRI Study.

PloS one Aug 8, 2016
The classification of neuroimaging data for the diagnosis of certain brain diseases is one of the main research goals of the neuroscience and clinical communities. In this study, we performed multiclass classification using a hierarchical extreme lea...
Child Support Vector Machine Magnetic Resonance Imaging Diagnosis, Differential Neuroimaging Attention Deficit Disorder with Hyperactivity Brain Humans Female Machine Learning Male Software Adolescent
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Diagnostic Classification of ADHD Versus Control: Support Vector Machine Classification Using Brief Neuropsychological Assessment.

Journal of attention disorders May 26, 2016
Common methods for clinical diagnosis include clinical interview, behavioral questionnaires, and neuropsychological assessment. These methods rely on clinical interpretation and have variable reliability, sensitivity, and specificity. The goal of th...
Attention Deficit Disorder with Hyperactivity Child Support Vector Machine Neuropsychological Tests Humans Machine Learning Reproducibility of Results
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Network-based classification of ADHD patients using discriminative subnetwork selection and graph kernel PCA.

Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society Apr 23, 2016
BACKGROUND: Attention Deficit Hyperactivity Disorder (ADHD) is one of the most prevalent behavioral disorders in childhood and adolescence. Recently, network-based diagnosis of ADHD has attracted great attentions due to the fact that ADHD disease is ...
Support Vector Machine Principal Component Analysis Datasets as Topic Sensitivity and Specificity Attention Deficit Disorder with Hyperactivity Pattern Recognition, Automated Humans Brain Female Male Case-Control Studies Child
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Use of machine learning for behavioral distinction of autism and ADHD.

Translational psychiatry Feb 9, 2016
Although autism spectrum disorder (ASD) and attention deficit hyperactivity disorder (ADHD) continue to rise in prevalence, together affecting >10% of today's pediatric population, the methods of diagnosis remain subjective, cumbersome and time inten...
Humans Machine Learning Child Diagnosis, Differential Autistic Disorder Attention Deficit Disorder with Hyperactivity Child Behavior
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Predicting Methylphenidate Response in ADHD Using Machine Learning Approaches.

The international journal of neuropsychopharmacology May 10, 2015
BACKGROUND: There are no objective, biological markers that can robustly predict methylphenidate response in attention deficit hyperactivity disorder. This study aimed to examine whether applying machine learning approaches to pretreatment demographi...
Lead Humans Cotinine Brain Body Weight Prognosis Female Drug Therapy, Computer-Assisted Rest Male Support Vector Machine Polymorphism, Genetic Norepinephrine Plasma Membrane Transport Proteins Child Age Factors Receptors, Adrenergic, alpha-2 Treatment Outcome Magnetic Resonance Imaging Central Nervous System Stimulants Stroop Test Attention Deficit Disorder with Hyperactivity Methylphenidate
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Fully Connected Cascade Artificial Neural Network Architecture for Attention Deficit Hyperactivity Disorder Classification From Functional Magnetic Resonance Imaging Data.

IEEE transactions on cybernetics Jan 6, 2015
Automated recognition and classification of brain diseases are of tremendous value to society. Attention deficit hyperactivity disorder (ADHD) is a diverse spectrum disorder whose diagnosis is based on behavior and hence will benefit from classificat...
Attention Deficit Disorder with Hyperactivity Image Processing, Computer-Assisted Support Vector Machine Magnetic Resonance Imaging Signal Processing, Computer-Assisted Humans Neural Networks, Computer Brain
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Exploring the dynamics of design fluency in children with and without ADHD using artificial neural networks.

Child neuropsychology : a journal on normal and abnormal development in childhood and adolescence Dec 11, 2014
The neuropsychology of attention deficit/hyperactivity disorder (ADHD) has been extensively studied, with a general focus on global performance measures of executive function. In this study, we compared how global (i.e., endpoint) versus process (i.e...
Executive Function Humans Child Neural Networks, Computer Cognition Female Neuropsychological Tests Male Attention Deficit Disorder with Hyperactivity Case-Control Studies
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Transforming 3D MRI to 2D Feature Maps Using Pre-Trained Models for Diagnosis of Attention Deficit Hyperactivity Disorder.

Tomography (Ann Arbor, Mich.) May 13, 2025
According to the World Health Organization (WHO), approximately 5% of children and 2.5% of adults suffer from attention deficit hyperactivity disorder (ADHD). This disorder can have significant negative consequences on people's lives, particularly c...
Brain Female Adult Male Humans Neural Networks, Computer Magnetic Resonance Imaging Neuroimaging Proof of Concept Study Attention Deficit Disorder with Hyperactivity Deep Learning Adolescent Child Imaging, Three-Dimensional
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Amphetamine use and Parkinson's disease: integration of artificial intelligence prediction, clinical corroboration, and mechanism of action analyses.

PloS one Jan 1, 2025
Parkinson's disease (PD) is an increasingly prevalent neurologic condition for which symptomatic, but not preventative, treatment is available. Drug repurposing is an innovate drug discovery method that uncovers existing therapeutics to treat or prev...
Retrospective Studies Female Aged Male Attention Deficit Disorder with Hyperactivity Middle Aged Parkinson Disease Humans Drug Repositioning Artificial Intelligence Amphetamine
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