Support vector machine-based classification of first episode drug-naïve schizophrenia patients and healthy controls using structural MRI

• Published in: Schizophrenia research Vol. 214; pp. 11 - 17
• Main Authors: Xiao, Yuan, Yan, Zhihan, Zhao, Youjin, Tao, Bo, Sun, Huaiqiang, Li, Fei, Yao, Li, Zhang, Wenjing, Chandan, Shah, Liu, Jieke, Gong, Qiyong, Sweeney, John A., Lui, Su
• Format: Journal Article
• Language: English
• Published: Netherlands Elsevier B.V 01.12.2019
• Subjects: Classification; Cortical thickness; Psychiatric/Mental Health; Schizophrenia; Support vector machine (SVM); Surface area; Support vector machine (SVM); Cortical thickness; ROC; Classification; Schizophrenia; SVM; Surface area; AUC; area under curve; support vector machine; receiver operating characteristic

Although regional brain deficits have been demonstrated in schizophrenia patients by structural MRI studies, one important question that remains largely unanswered is whether the complex and subtle deficits revealed by MRI could be used as objective biomarkers to discriminate patients from healthy c...