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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Detaylı Bibliyografya
Asıl Yazarlar:	Kevin Dick, Emily Kaczmarek, Robin Ducharme, Alexa C. Bowie, Alysha L.J. Dingwall-Harvey, Heather Howley, Steven Hawken, Mark C. Walker, Christine M. Armour
Materyal Türü:	Artigo
Dil:	Inglês
Baskı/Yayın Bilgisi:	Nature Portfolio 2025-04-01
Seri Bilgileri:	Scientific Reports
Online Erişim:	https://doi.org/10.1038/s41598-025-90216-8
Etiketler:	Etiketle Etiket eklenmemiş, İlk siz ekleyin!

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

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