Machine learning with neuroimaging data to identify autism spectrum disorder: a systematic review and meta-analysis.

Purpose: Autism Spectrum Disorder (ASD) is diagnosed through observation or interview assessments, which is time-consuming, subjective, and with questionable validity and reliability. Thus, we aimed to evaluate the role of machine learning (ML) with neuroimaging data to provide a reliable classifica...

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Detalles Bibliográficos

Publicado en:	Neuroradiology Vol. 63; no. 12; pp. 2057 - 2073
Autores principales:	Song, Da-Yea, Topriceanu, Constantin-Cristian, Ilie-Ablachim, Denis C., Kinali, Maria, Bisdas, Sotirios
Formato:	meta analysis research systematic review tables/charts Journal Article
Publicado:	Springer Nature Dec2021
Acceso en línea:	Ver este registro en EBSCOhost