Meta-data Study in Autism Spectrum Disorder Classification Based on Structural MRI. (arXiv:2206.05052v1 [cs.LG])

Accurate diagnosis of autism spectrum disorder (ASD) based on neuroimaging
data has significant implications, as extracting useful information from
neuroimaging data for ASD detection is challenging. Even though machine
learning techniques have been leveraged to improve the information extraction
from neuroimaging data, the varying data quality caused by different meta-data
conditions (i.e., data collection strategies) limits the effective information
that can be extracted, thus leading to data-dependent predictive accuracies in
ASD detection, which can be worse than random guess in …

arxiv autism classification data lg meta study