Extracting a Discriminative Structural Sub-Network for ASD Screening using the Evolutionary Algorithm
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Autism spectrum disorder (ASD) is one of the most significant neurological disorders that disrupt a person's social communication skills. The progression and development of neuroimaging technologies has made structural network construction of brain regions possible. In this paper, after finding the discriminative sub-network using the evolutionary algorithm, the simple features of the sub-network lead us to diagnose autism in various subjects with plausible accuracy (76 results compared to previous researches. Thus, this method may be used as an accurate assistance in autism screening
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