A review of and roadmap for data science and machine learning for the neuropsychiatric phenotype of autism

P Washington, DP Wall - Annual Review of Biomedical Data …, 2023‏ - annualreviews.org
Autism spectrum disorder (autism) is a neurodevelopmental delay that affects at least 1 in 44
children. Like many neurological disorder phenotypes, the diagnostic features are …

[HTML][HTML] Machine learning based on eye-tracking data to identify Autism Spectrum Disorder: A systematic review and meta-analysis

Q Wei, H Cao, Y Shi, X Xu, T Li - Journal of biomedical informatics, 2023‏ - Elsevier
Background Machine learning has been widely used to identify Autism Spectrum Disorder
(ASD) based on eye-tracking, but its accuracy is uncertain. We aimed to summarize the …