教育生物学杂志2024，Vol.12Issue(2)：149-153,159,6.DOI:10.3969/j.issn.2095-4301.2024.02.012
机器学习在婴幼儿孤独症谱系障碍早期筛查中的应用进展
Progress of machine learning in early screening of autism spectrum disorders among infants and toddlers
摘要
Abstract
The onset of autism spectrum disorder(ASD)is in early childhood.Early screening of ASD among infants and toddlers is the key to implement early intervention and improve prognosis.With the continuous development of information technology and medical informatization,the application of machine learning to early screening of ASD among infants and toddlers has attracted much attention and has shown its unique advantages.This paper reviews the research progress of machine learning in early screening of ASD among infants and toddlers,which aims to systematically understand the development trend and reflect the existing shortcomings,so as to provide reference for promoting early screening of ASD among infants and toddlers.关键词
孤独症谱系障碍/机器学习/早期筛查/婴幼儿Key words
autism spectrum disorder/machine learning/early screening/infants and toddlers引用本文复制引用
朱宏锐,张华,任珊,梅媛,肖归..机器学习在婴幼儿孤独症谱系障碍早期筛查中的应用进展[J].教育生物学杂志,2024,12(2):149-153,159,6.基金项目
海南省自然科学基金(822QN317) （822QN317）
海南省哲学社会科学规划课题[HNSK(ZC)22-189] （ZC）
海南医学院科研培育基金(HYPY2020026) （HYPY2020026）
