<p class="jove_content">To address the lack of objective biomarkers in schizophrenia diagnosis, combining statistical feature masking with an SVM classifier, yielding 96.7% accuracy on the held-out test set of the COBRE dataset, and outperforming six benchmark algorithms.</p>

an-automated-framework-using-magnetic-resonance-imaging-feature

An Automated Framework Using Magnetic Resonance Imaging Feature Masking and Support Vector Machine for Schizophrenia Classification

Automated classification of schizophrenia can improve the quality of life for people with schizophrenia and reduce social costs. At present, however, the ...

Institution - The First Psychiatric Hospital of Harbin

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