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...
| Publicado en: | Neuroradiology Vol. 63; no. 12; pp. 2057 - 2073 |
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| Autores principales: | , , , , |
| Formato: | research systematic review tables/charts Journal Article |
| Publicado: |
Springer Nature
Dec2021
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| Acceso en línea: | Ver este registro en EBSCOhost |