Identifying neuroanatomical and behavioral features for autism spectrum disorder diagnosis in children using machine learning.
Autism spectrum disorder (ASD) is a neurodevelopmental disorder that can cause significant social, communication, and behavioral challenges. Diagnosis of ASD is complicated and there is an urgent need to identify ASD-associated biomarkers and features to help automate diagnostics and develop predict...
| Published in: | PLoS ONE |
|---|---|
| Main Authors: | , , , , |
| Format: | Article |
| Language: | English |
| Published: |
Public Library of Science (PLoS)
2022-01-01
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| Online Access: | https://doi.org/10.1371/journal.pone.0269773 |
