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Updated: May 30, 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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使用反复性神经网络检测注意力缺陷/多动障碍的时间异常检测

Georgios Bouchouras1, Georgios Sofianidis1, Konstantinos Kotis2

  • 1Rehabilitation, School of Health Sciences, Metropolitan College, Thessaloniki, GRC.

Cureus
|January 28, 2025
PubMed
概括

机器学习准确地预测了注意力缺陷/多动障碍 (ADHD) 的运动异常. 这为更好的诊断和个性化治疗策略提供了对ADHD行为的新见解.

关键词:
注意缺陷/多动障碍 (ADHD) 是一种注意力缺陷/多动障碍.物 (iot) 的内部网络森林隔离 森林隔离机器学习是机器学习.运动活动模式 运动活动模式经常性神经网络 (rnn)时间异常检测检测时间异常检测可以穿戴的传感器.

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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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