Prediction of attention deficit hyperactivity disorder based on explainable artificial intelligence

IF 1.4 4区心理学 Q4 CLINICAL NEUROLOGY

Applied Neuropsychology: Child Pub Date : 2024-04-09 DOI:10.1080/21622965.2024.2336019

Ignasi Navarro-Soria, Juan Ramón Rico-Juan, Rocio Juárez-Ruiz de Mier, Rocío Lavigne-Cervan

引用次数: 0

Abstract

Accurate assessment of Attention Deficit Hyperactivity Disorder (ADHD) is crucial for the effective treatment of affected individuals. Traditionally, psychometric tests such as the WISC-IV have bee...

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基于可解释人工智能的注意缺陷多动障碍预测

对注意力缺陷多动障碍 (ADHD) 进行准确评估对于有效治疗患者至关重要。传统上，WISC-IV 等心理测验被认为是对注意力缺陷多动障碍（ADHD）患者进行评估的最佳方法。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Applied Neuropsychology: Child CLINICAL NEUROLOGY-PSYCHOLOGY

CiteScore

4.00

自引率

5.90%

发文量

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.