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| http://dx.doi.org/10.1177/0706743715620143 | DOI Listing |
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Detecting noncredible symptomology in ADHD evaluations using machine learning.
J Clin Exp Neuropsychol
January 2025
Department of Psychology, University of Illinois at Urbana-Champaign, Champaign, IL, USA.
Introduction: Diagnostic evaluations for attention-deficit/hyperactivity disorder (ADHD) are becoming increasingly complicated by the number of adults who fabricate or exaggerate symptoms. Novel methods are needed to improve the assessment process required to detect these noncredible symptoms. The present study investigated whether unsupervised machine learning (ML) could serve as one such method, and detect noncredible symptom reporting in adults undergoing ADHD evaluations.
View Article and Find Full Text PDFAttention Deficit Hyperactivity Disorder in Girls and the Risk of Unplanned Pregnancies.
Children (Basel)
January 2025
Department of Obstetrics and Gynecology, Carol Davila University of Medicine and Pharmacy, 020021 Bucharest, Romania.
Background/objectives: Although ADHD in adults has become visible and inclusive in recent years in diagnostic manuals, research is still limited regarding the long-term outcomes of patients with this disorder. The main objective of this research was to address the many facets of predictor variables in girls with ADHD facing unplanned pregnancies at young ages in order to improve the management of pre-, peri-, and postnatal complications that may occur, as well as for early psychiatric diagnosis and effective intervention.
Methods: PubMed and Web of Science Databases were used to perform literature research, and a total of 27 records were selected and used for data extraction.
Explainable Artificial Intelligence for Predicting Attention Deficit Hyperactivity Disorder in Children and Adults.
Healthcare (Basel)
January 2025
Research, Development, and Innovation Laboratory, Mundiapolis University, Casablanca 20180, Morocco.
Attention Deficit Hyperactivity Disorder (ADHD) is a disorder that starts in childhood, sometimes persisting into adulthood. It puts a strain on their social, professional, family, and environmental lives, which can exacerbate disorders such as anxiety, depression, and bipolar disorder. : This paper aims to predict ADHD in children and adults and explain the main factors impacting this disorder.
View Article and Find Full Text PDFThe 2D:4D ratios in the mothers of children with attention deficit hyperactivity disorder.
Early Hum Dev
January 2025
Department of Psychiatry, Alanya Education and Research Hospital, Antalya 07425, Turkey.
Background: Prenatal exposure to high levels of testosterone affects the development of the brain. The purpose of this study was to compare the mothers of children with attention deficit hyperactivity disorder (ADHD) and those of healthy children in terms of the digit ratio (2D:4D). It also examines the relationship between ADHD symptoms and the 2D:4D in mothers.
View Article and Find Full Text PDFExploring the Intersection of ADHD and Music: A Systematic Review.
Behav Sci (Basel)
January 2025
Centre for Research in Eating and Weight Disorders (CREW), Department of Psychological Medicine, Institute of Psychiatry, Psychology & Neuroscience (IoPPN), King's College London, London SE5 8AB, UK.
Attention Deficit Hyperactivity Disorder (ADHD) is a highly prevalent neurodevelopmental disorder, affecting both children and adults, which often leads to significant difficulties with attention, impulsivity, and working memory. These challenges can impact various cognitive and perceptual domains, including music perception and performance. Despite these difficulties, individuals with ADHD frequently engage with music, and previous research has shown that music listening can serve as a means of increasing stimulation and self-regulation.
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