Detecting Autism Spectrum Disorder from Functional Magnetic Resonance Imaging Data with an Ensemble Machine Learning Method
Author:
Affiliation:
1. Shandong University,School of Control Science and Engineering,Jinan,Shandong 250061,China
2. Shandong University,School of Mathematics,Jinan,Shandong 250100,China
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10271385/10271571/10271650.pdf?arnumber=10271650
Reference27 articles.
1. Functional connectivity-based classification of autism and control using SVM-RFECV on rs-fMRI data
2. Diagnostic classification of intrinsic functional connectivity highlights somatosensory, default mode, and visual regions in autism
3. Feature Selection Based on Genetic Algorithm in the Diagnosis of Autism Disorder by fMRI
4. Evaluation of Altered Functional Connections in Male Children With Autism Spectrum Disorders on Multiple-Site Data Optimized With Machine Learning
5. Classification of Autism Spectrum Disorder from EEG-based Functional Brain Connectivity Analysis
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