Brainnetome Center and National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, China, 100190;
Lawson Health Research Institute, London Health Sciences Centre;
860 Richmond Street;
London, Ontario;
Canada N6A 3H8;
Lawson Health Research Institute, London Health Sciences Centre;
860 Richmond Street;
London, Ontario;
Canada N6A 3H8;
Lawson Health Research Institute, London Health Sciences Centre;
860 Richmond Street;
London, Ontario;
Canada N6A 3H8;
Brainnetome Center and National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, China, 100190;
The Mind Research Network, 1101 Yale Blvd NE, Albuquerque, NM 87131, USA;
Brainnetome Center and National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, China, 100190;
Support vector machines; Kernel; Integrated circuits; Symmetric matrices; Training; Testing;
机译:使用全脑功能连通性将双相情感障碍与主要抑郁症区分开:基于SVM-FoBa算法的特征选择分析
机译:最近发作的重大抑郁症,双相情感障碍和精神分裂症-频谱障碍的神经心理和功能结局:一项纵向队列研究
机译:精神分裂症,双相障碍和重大抑郁症自动视觉注意的比较:来自P1事件相关组件的证据
机译:基于内核SVM使用功能独立组分的核心抑郁症的双极性障碍
机译:精神疾病的遗传生物标志物:鉴别多种抑郁症与多种子基风险评分的双相情感障碍
机译:基于SVM-FoBa的双相情感障碍与主要抑郁症的鉴别:多模式脑成像数据的有效特征选择
机译:最近发作的重大抑郁症,双相情感障碍和精神分裂症-频谱障碍的神经心理和功能结局:一项纵向队列研究