发育医学电子杂志2026，Vol.14Issue(1)：58-64,7.DOI:10.3969/j.issn.2095-5340.2026.01.009
机器学习在孤独谱系障碍早期筛查与诊断中的研究进展
Research progress of machine learning in early screening and diagnosis of autism spectrum disorder
摘要
Abstract
Autism spectrum disorder(ASD)is a neurodevelopmental disorder that often occurs early in life.The global consensus of the disease is that the more early detection and intervention,the more significant the rehabilitation effect,the better the prognosis in the later stage.However,the current commonly used screening and diagnostic scale evaluation methods have certain limitations and subjectivity,which may lead to misdiagnosis or missed diagnosis.With the rapid development of machine learning,the medical field has also increased the exploration of intelligence,and it is gradually possible to use machine learning for early screening of ASD,increasing the objectivity and credibility of diagnosis.This paper reviews the applications of machine learning in early screening and diagnosis of ASD,with the aim of providing a reference for intelligent approaches for early screening and intervention for children with ASD in China.关键词
孤独症谱系障碍/早期筛查/机器学习/深度学习/智能化Key words
Autism spectrum disorder/Early screening/Machine learning/Deep learning/Intelligentize引用本文复制引用
常佳,孟凡超,郑毅,赵佳,田音,陈旭..机器学习在孤独谱系障碍早期筛查与诊断中的研究进展[J].发育医学电子杂志,2026,14(1):58-64,7.基金项目
北京市医院管理中心临床医学发展专项(YGLX202340) （YGLX202340）
高层次公共卫生技术人才建设项目(学科骨干-01-029,学科带头人-02-01) （学科骨干-01-029,学科带头人-02-01）
