Feature Extraction Feature selection revealed an interesting trend–abnormal subjects tend to have lower standard scores of subgraphs with overlapping 3-node or 4-node cycles, and instead have higher standard scores of subgraphs with hubs whose neighbors are poorly connected.
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A machine learning approach to automated structural network analysis: application to neonatal encephalopathy.
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