Predicting symptom severity in autism spectrum disorder based on cortical thickness measures in agglomerative data
Elaheh Moradi, Budhachandra Khundrakpam, John D Lewis, Alan C Evans, Jussi Tohka
The paper develops a machine learning method to predict symptom severity in ASD using cortical thickness data from multi-site ABIDE data, achieving better performance than existing approaches.
NeuroImage · Jan 1, 2017Peer-reviewedNeuroscience