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Using Brain Activation nir-HEG/Q-EEG and Execution Measures CPTs in a ADHD Assessment Protocol
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Q-MIND:使用量子机器学习来增强ADHD诊断,用于高级神经成像分析.

Bhawna Jain1, Astha Varshney2, Muskaan Vithal2

  • 1Indira Gandhi Delhi Technical University for Women, New Delhi, Delhi, India. dr.bhawnajain.e@gmail.com.

Journal of neural transmission (Vienna, Austria : 1996)
|October 21, 2025
PubMed
概括

这项研究引入了一种新的量子机器学习方法,用于诊断注意力缺陷多动障碍 (ADHD). 先进的框架实现了98.53%的准确性,提高了这种常见的神经行为障碍的诊断精度.

关键词:
发现ADHD 发现ADHD 检测汽车ML 汽车ML进化算法是一种进化算法.神经成像分析分析神经成像分析量子机器学习就是量子机器学习.

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相关概念视频

Brain Imaging01:14

Brain Imaging

Brain imaging technologies provide critical insights into both the structure and function of the human brain, enabling medical professionals and researchers to diagnose, study, and treat neurological disorders or psychiatric disorders more effectively.
These technologies include computerized axial tomography (CAT or CT scans), positron-emission tomography (PET scans),  magnetic resonance imaging (MRI),  functional magnetic resonance imaging (fMRI), and Transcranial Magnetic Stimulation (TMS).