Predictive diagnosis of major depression using NMR-based metabolomics and least-squares support vector machine

详细信息    查看全文

• 作者：Hong Zheng^a ; ¹ ; Peng Zheng^b ; ¹ ; Liangcai Zhao^a ; Jianmin Jia^a ; Shengli Tang^a ; Pengtao Xu^a ; Peng Xie^b ; Hongchang Gao^a ; ^{gaohc27@wmu.edu.cn}
• 关键词：Artificial intelligence ; Depression ; Prediction ; Plasma ; Metabolome
• 刊名：Clinica Chimica Acta
• 出版年：2017
• 出版时间：January 2017
• 年：2017
• 卷：464
• 期：Complete
• 页码：223-227
• 全文大小：688 K
• 卷排序：464

文摘

Major depression diagnosis can be achieved by a standardized instrument. An integrated analytical method of metabolomics and LS-SVM was developed. Multi-biomarkers outperform single-biomarker for depression diagnosis. Plasma glucose-lipid signaling can be used for predictive diagnosis of depression.