AIMC Topic: Attention Deficit Disorder with Hyperactivity

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Making the most of errors: Utilizing erroneous classifications generated by machine-learning models of neuroimaging data to capture disorder heterogeneity.

Journal of psychopathology and clinical science Nov 1, 2024
Within-disorder heterogeneity complicates mapping the neurobiological features of psychopathology to Diagnostic and Statistical Manual of Mental Disorders conceptualizations. The present study explored the patterns of diagnostic classification errors...
Neuroimaging Attention Deficit Disorder with Hyperactivity Brain Female Adult Bipolar Disorder Schizophrenia Diagnostic Errors Male Humans Machine Learning
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Using machine learning to derive neurobiological subtypes of general psychopathology in late childhood.

Journal of psychopathology and clinical science Nov 1, 2024
Traditional mental health diagnoses rely on symptom-based classifications. Yet this approach can oversimplify clinical presentations as diagnoses often do not adequately map onto neurobiological features. Alternatively, our study used structural imag...
Machine Learning Mental Disorders Brain Humans Cognition Magnetic Resonance Imaging Psychopathology Attention Deficit Disorder with Hyperactivity Female Male Child
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Complexity Analysis based on Parietal Fuzzy Entropy to Facilitate ADHD Diagnosis in Young Children.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jul 1, 2024
Attention deficit hyperactivity disorder (ADHD) is the most common condition affecting the development of neurons in children. Therefore, early and accurate diagnosis of ADHD in young children is of paramount importance. In this study, the 8-channel ...
Child, Preschool Child Support Vector Machine Fuzzy Logic Humans Female Male Attention Deficit Disorder with Hyperactivity Electroencephalography Signal Processing, Computer-Assisted Entropy
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Deep Learning for Cross-Diagnostic Prediction of Mental Disorder Diagnosis and Prognosis Using Danish Nationwide Register and Genetic Data.

JAMA psychiatry Feb 1, 2023
IMPORTANCE: Diagnoses and treatment of mental disorders are hampered by the current lack of objective markers needed to provide a more precise diagnosis and treatment strategy.
Cohort Studies Denmark Attention Deficit Disorder with Hyperactivity Male Depressive Disorder, Major Deep Learning Humans Autism Spectrum Disorder Young Adult Adult Prognosis Female
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Deep learning model reveals potential risk genes for ADHD, especially Ephrin receptor gene EPHA5.

Briefings in bioinformatics Nov 5, 2021
Attention deficit hyperactivity disorder (ADHD) is a common neurodevelopmental disorder. Although genome-wide association studies (GWAS) identify the risk ADHD-associated variants and genes with significant P-values, they may neglect the combined eff...
Receptor, EphA5 Humans Quantitative Trait Loci Biomarkers Linkage Disequilibrium Computational Biology Deep Learning Attention Deficit Disorder with Hyperactivity Area Under Curve Genetic Predisposition to Disease Gene Ontology Polymorphism, Single Nucleotide Genome-Wide Association Study ROC Curve
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Regularized Bagged Canonical Component Analysis for Multiclass Learning in Brain Imaging.

Neuroinformatics Oct 1, 2020
A fundamental problem of supervised learning algorithms for brain imaging applications is that the number of features far exceeds the number of subjects. In this paper, we propose a combined feature selection and extraction approach for multiclass pr...
Female Aged Aged, 80 and over Cognitive Dysfunction Child Male Disease Progression Humans Machine Learning Brain Pattern Recognition, Automated Magnetic Resonance Imaging Alzheimer Disease Neuroimaging Image Interpretation, Computer-Assisted Attention Deficit Disorder with Hyperactivity
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Leveraging Machine Learning to Identify Predictors of Receiving Psychosocial Treatment for Attention Deficit/Hyperactivity Disorder.

Administration and policy in mental health Sep 1, 2020
This study aimed to identify factors associated with receiving psychosocial treatment for ADHD in a nationally representative sample. Participants were 6630 youth with a parent-reported diagnosis of ADHD from the 2016-2017 National Survey of Children...
Machine Learning Socioeconomic Factors Female Attention Deficit Disorder with Hyperactivity Risk Factors Patient Acceptance of Health Care Humans Adolescent Child, Preschool Child Male ROC Curve Comorbidity Severity of Illness Index
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The World Health Organization Adult Attention-Deficit/Hyperactivity Disorder Self-Report Screening Scale for DSM-5.

JAMA psychiatry May 1, 2017
IMPORTANCE: Recognition that adult attention-deficit/hyperactivity disorder (ADHD) is common, seriously impairing, and usually undiagnosed has led to the development of adult ADHD screening scales for use in community, workplace, and primary care set...
Diagnostic and Statistical Manual of Mental Disorders Sensitivity and Specificity Attention Deficit Disorder with Hyperactivity Male Self Report Humans Reproducibility of Results Psychiatric Status Rating Scales World Health Organization Psychometrics Machine Learning Young Adult Adolescent Female Adult
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