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关于机器学习在自闭症谱系障碍中的应用当前的研究格局:从1999年到2023年的图书识别分析

Xinyu Li1,2, Wei Huang3, Rongrong Tan1,2

  • 1Department of Psychiatry, The School of Clinical Medicine, Hunan University of Chinese Medicine, Changsha, Hunan, China.

Current neuropharmacology
|March 27, 2025
PubMed
概括

本文献分析显示,自2017年以来,自闭症谱系障碍 (ASD) 机器学习研究的激增. 关键主题包括深度学习和分类,未来将专注于人工智能和用于自闭症诊断的脑电图.

关键词:
自闭症谱系障碍 自闭症谱系障碍城市空间 (Citespace) 是一个城市空间.热点地区是热点地区.这就是VOSviewer.文献计量分析的分析机器学习是机器学习.

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Autism Spectrum Disorder01:19

Autism Spectrum Disorder

Autism spectrum disorder (ASD) is a neurodevelopmental condition marked by persistent deficits in social communication and interaction alongside restrictive and repetitive behaviors or interests. ASD is sometimes accompanied by intellectual impairment.
These core symptoms manifest differently among individuals, ranging from mild to severe. The disorder's complexity extends beyond its clinical presentation, encompassing a diverse range of biological, cognitive, and sociocultural influences.
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