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Updated: Jul 14, 2025

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自闭症谱系障碍的行为严重程度的个性化分类,使用全面的机器学习框架

Mohamed T Ali1,2, Ahmad Gebreil1, Yaser ElNakieb1,2

  • 1Bioengineering Department, University of Louisville, Louisville, KY, 40292, USA.

Scientific reports
|October 9, 2023
PubMed
概括

这项研究使用人工智能来分析对自闭症谱系障碍 (ASD) 的脑部扫描. 人工智能模型准确地识别了与ASD行为相关的大脑区域,提高了诊断速度和准确性.

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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.
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Modeling, a key technique in therapy, uses observational learning to help clients acquire and practice new skills by watching therapists demonstrate desired behaviors. This approach, rooted in Albert Bandura's concept of vicarious learning, plays a significant role in therapeutic interventions for various psychological conditions, including social anxiety, ADHD, and depression.
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Classification of Illness

The meaning of illness is individualized to each person who experiences an alteration in health. In contrast, disease is a medical term indicating a pathological change in the structure and function of the body or mind. It is a condition that has specific symptoms and boundaries.
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Linearity is a system property characterized by a direct input-output relationship, combining homogeneity and additivity.
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Learning Disabilities

Learning disabilities are cognitive disorders caused by neurological impairments that affect cognitive functions like language and reading, without indicating overall intellectual or developmental challenges. These disabilities differ from global intellectual or developmental disabilities as they are limited to distinct cognitive functions. Common learning disabilities include dysgraphia, dyslexia, and dyscalculia, each of which impacts unique aspects of learning.
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