A machine learning-based diagnostic model for children with autism spectrum disorders complicated with intellectual disability

A machine learning-based diagnostic model for children with autism spectrum disorders complicated with intellectual disability

BackgroundEarly detection of children with autism spectrum disorder (ASD) and comorbid intellectual disability (ID) can help in individualized intervention. Appropriate assessment and diagnostic tools are lacking in primary care. This study aims to explore the applicability of machine learning (ML)...

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Bibliographic Details
Main Authors: Chao Song, Zhong-Quan Jiang, Li-Fei Hu, Wen-Hao Li, Xiao-Lin Liu, Yan-Yan Wang, Wen-Yuan Jin, Zhi-Wei Zhu
Format: Article
Language:English
Published: Frontiers Media S.A. 2022-09-01
Series:Frontiers in Psychiatry
Subjects:
artificial intelligence
machine learning
child
autism spectrum disorder
intellectual disability
diagnostic model
Online Access:https://www.frontiersin.org/articles/10.3389/fpsyt.2022.993077/full

Internet

https://www.frontiersin.org/articles/10.3389/fpsyt.2022.993077/full

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