Early detection of autism spectrum disorder in young children with machine learning using medical claims data

OBJECTIVES: Early diagnosis and intervention are keys for improving long-term outcomes of children with autism spectrum disorder (ASD). However, existing screening tools have shown insufficient accuracy. Our objective is to predict the risk of ASD in young children between 18 months and 30 months ba...

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Detalles Bibliográficos
Autores principales: Chen, Yu-Hsin, Chen, Qiushi, Kong, Lan, Liu, Guodong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BMJ Publishing Group 2022
Materias:
Original Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9462117/
http://dx.doi.org/10.1136/bmjhci-2022-100544

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9462117/
http://dx.doi.org/10.1136/bmjhci-2022-100544

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