A novel approach to ADHD classification based on severity and emotional impairment: Findings from artificial intelligence analysis.

IF 1.4 4区 心理学 Q4 CLINICAL NEUROLOGY Applied Neuropsychology: Child Pub Date : 2024-10-24 DOI:10.1080/21622965.2024.2419493
Irene Pascual Zapatero, Pablo Sánchez Cristóbal, Rosa Jurado Barba
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Abstract

Attention Deficit Hyperactivity Disorder (ADHD) is a disorder characterized by symptoms of inattention and executive dysfunction, although there is not always agreement on the onset, course and long-term stability of the diagnosis. This study aims to detect differences in the cognitive profile according to the subtype of ADHD following a professional diagnosis and to propose an alternative classification. The scores obtained for each cognitive construct were compared using the Student's t-test. In order to explore different diagnostic categories based on groupings made by Artificial Intelligence (AI) subjects were grouped based on their performance through the K-means clustering technique. The results obtained by Artificial Intelligence (AI) identified groups based on the severity of the cognitive profile and the presence of emotional impairment. Difficulties in perceived planning within family and school environments were highlighted as major risk factors in the severity of ADHD in children. Emotional disturbances perceived by both parents, such as depressive symptoms, anxiety, and somatization, were observed subsequently. In accordance with the results, an alternative way to classify ADHD is possible, involving categorization according to the presence or absence of emotional impairment, along with the severity of impairment in attentional and executive functions.

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基于严重程度和情感障碍的多动症分类新方法:人工智能分析结果。
注意力缺陷多动障碍(ADHD)是一种以注意力不集中和执行功能障碍症状为特征的疾病,尽管人们对其发病、病程和长期稳定性的诊断并不总是一致。本研究旨在根据专业诊断后的注意力缺陷多动障碍亚型,检测认知特征的差异,并提出一种替代分类方法。研究采用学生 t 检验法比较了每个认知结构的得分。为了探索基于人工智能(AI)分组的不同诊断类别,我们通过 K-means 聚类技术根据受试者的表现进行了分组。人工智能(AI)得出的结果根据认知状况的严重程度和是否存在情感障碍确定了分组。家庭和学校环境中的规划困难是导致儿童多动症严重程度的主要风险因素。随后还观察到父母双方都感觉到的情绪障碍,如抑郁症状、焦虑和躯体化。根据研究结果,可以采用另一种方法对多动症进行分类,即根据是否存在情绪障碍以及注意力和执行功能障碍的严重程度进行分类。
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来源期刊
Applied Neuropsychology: Child
Applied Neuropsychology: Child CLINICAL NEUROLOGY-PSYCHOLOGY
CiteScore
4.00
自引率
5.90%
发文量
47
期刊介绍: Applied Neuropsychology: Child publishes clinical neuropsychological articles concerning assessment, brain functioning and neuroimaging, neuropsychological treatment, and rehabilitation in children. Full-length articles and brief communications are included. Case studies of child patients carefully assessing the nature, course, or treatment of clinical neuropsychological dysfunctions in the context of scientific literature, are suitable. Review manuscripts addressing critical issues are encouraged. Preference is given to papers of clinical relevance to others in the field. All submitted manuscripts are subject to initial appraisal by the Editor-in-Chief, and, if found suitable for further considerations are peer reviewed by independent, anonymous expert referees. All peer review is single-blind and submission is online via ScholarOne Manuscripts.
期刊最新文献
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