In this study, we used 5 machine learning algorithms with structural and diffusion MRI to classify suicidal risk in depressed patients and the best performance was acquired by support vector machine. In addition, the most important 10 features were most located in fronto-temporal–parietal regions. This study found a classification model using MRI data can help diagnosis and assess suicidal risk in depressed patients.
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