Automatic classification of autism spectrum disorder in children using cortical thickness and support vector machine

OBJECTIVE: Autism spectrum disorder (ASD) is a neurodevelopmental condition with a heterogeneous phenotype. The role of biomarkers in ASD diagnosis has been highlighted; cortical thickness has proved to be involved in the etiopathogenesis of ASD core symptoms. We apply support vector machine, a supe...

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Detalles Bibliográficos
Autores principales: Squarcina, Letizia, Nosari, Guido, Marin, Riccardo, Castellani, Umberto, Bellani, Marcella, Bonivento, Carolina, Fabbro, Franco, Molteni, Massimo, Brambilla, Paolo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2021
Materias:
Original Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8413814/
https://www.ncbi.nlm.nih.gov/pubmed/34264004
http://dx.doi.org/10.1002/brb3.2238

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8413814/
https://www.ncbi.nlm.nih.gov/pubmed/34264004
http://dx.doi.org/10.1002/brb3.2238

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