Classification of psychosis spectrum disorders using graph convolutional networks with structurally constrained functional connectomes
Madison Lewis,
Wenlong Jiang,
Nicholas Theis
et al.
Abstract:To improve diagnostic strategies for psychiatric disorders, machine learning methods are being increasingly used. Recently, brain network features are being used as biological substrates to predict the diagnostic categories. Previous studies have predicted psychiatric disorders from controls with reasonable precision. Our goal was to classify a broad spectrum of psychotic disorders including those experiencing subsyndromal psychotic-like symptoms. Given the broader phenomenology, we used support vector machine… Show more
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