Improving fMRI-Based Autism Severity Identification via Brain Network Distance and Adaptive Label Distribution Learning
Machine learning methodologies have been profoundly researched in the realm of autism spectrum disorder (ASD) diagnosis.Nonetheless, owing to the ambiguity of ASD severity labels and individual differences in ASD severity, current fMRI-based methods for identifying ASD severity still do not achieve satisfactory performance.Besides, the potential as