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Updated: Jun 13, 2025

Event Related Potentials ERPs and other EEG Based Methods for Extracting Biomarkers of Brain Dysfunction: Examples from Pediatric Attention Deficit/Hyperactivity Disorder ADHD
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使用综合注意力测试预测注意力缺陷多动症:一种大规模的机器学习方法

Kwang Su Cha1, Bongseog Kim2, Jun-Young Lee3

  • 1Corporate Research Institute, Happymind Inc., Gwacheon-shi, Gyeonggi-do, Republic of Korea.

Frontiers in psychiatry
|June 11, 2025
PubMed
概括

机器学习模型与综合注意力测试 (CAT) 相结合,在诊断注意力缺陷多动症障碍 (ADHD) 中显示出高准确度. 这种方法为ADHD诊断提供了一个有前途的工具,改进了传统方法.

关键词:
更多关于 ADHD ADHD 的文章注意力测试注意力测试测试伴随性精神疾病的精神疾病.诊断的有效性 诊断的有效性机器学习是机器学习.

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相关概念视频

Attention-Deficit/Hyperactivity Disorder01:30

Attention-Deficit/Hyperactivity Disorder

Attention-deficit/hyperactivity disorder (ADHD) is a neurodevelopmental disorder characterized by persistent inattention, hyperactivity, and impulsivity. It affects approximately 5-8% of children globally, with around 60-70% of cases persisting into adulthood. ADHD has significant implications for educational attainment, social interactions, and occupational success.
Diagnostic Criteria and Symptoms
To diagnose ADHD, symptoms must manifest before age 12 and be evident across multiple settings....
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