Multiparametric MRI Characterization and Prediction in Autism Spectrum Disorder Using Graph Theory and Machine Learning

This study employed graph theory and machine learning analysis of multiparametric MRI data to improve characterization and prediction in autism spectrum disorders (ASD). Data from 127 children with ASD (13.5±6.0 years) and 153 age- and gender-matched typically developing children (14.5±5.7 years) we...

Descripción completa

Detalles Bibliográficos
Autores principales: Zhou, Yongxia, Yu, Fang, Duong, Timothy
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2014
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4055499/
https://www.ncbi.nlm.nih.gov/pubmed/24922325
http://dx.doi.org/10.1371/journal.pone.0090405

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4055499/
https://www.ncbi.nlm.nih.gov/pubmed/24922325
http://dx.doi.org/10.1371/journal.pone.0090405

Ejemplares similares