Transformer-based deep learning ensemble framework predicts autism spectrum disorder using health administrative and birth registry data

Abstract Early diagnosis and access to resources, support and therapy are critical for improving long-term outcomes for children with autism spectrum disorder (ASD). ASD is typically detected using a case-finding approach based on symptoms and family history, resulting in many delayed or missed diag...

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Hlavní autoři:	Kevin Dick, Emily Kaczmarek, Robin Ducharme, Alexa C. Bowie, Alysha L.J. Dingwall-Harvey, Heather Howley, Steven Hawken, Mark C. Walker, Christine M. Armour
Médium:	Artigo
Jazyk:	Inglês
Vydáno:	Nature Portfolio 2025-04-01
Edice:	Scientific Reports
On-line přístup:	https://doi.org/10.1038/s41598-025-90216-8
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