Extracting a Discriminative Structural Sub-Network for ASD Screening using the Evolutionary Algorithm

M. Amin; F. Safaei; N. S. Ghaderian

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arXiv · 1911.05484

Extracting a Discriminative Structural Sub-Network for ASD Screening using the Evolutionary Algorithm

M. Amin·F. Safaei·N. S. Ghaderian

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Abstract

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% on average). This method yields substantially better results compared to previous researches. Thus, this method may be used as an accurate assistance in autism screening

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M. Amin, F. Safaei, N. S. Ghaderian. 2019-10-26. Extracting a Discriminative Structural Sub-Network for ASD Screening using the Evolutionary Algorithm. https://arxiv.org/abs/1911.05484

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