biomedical MRI; brain; feature selection; medical disorders; medical image processing; SVM-FoBA algorithm; biomarkers; bipolar disorder; depressive symptoms; fMRI; feature selection algorithm; feature selection analysis; high-dimensional brain functional connectives; major depressive disorder; mood disorders; neuroimaging applications; whole-brain functional connectivity; Decision support systems; Indexes; SVM-FoBa; bipolar disorder; feature selection; functional connectivity; major depression disorder;
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:使用全脑功能活性和连通性的未带有双相障碍的分类:辐射瘤分析
机译:使用全脑功能连通性识别重大抑郁症:多元模式分析
机译:利用全脑功能连通性辨别两次抑郁症的双相情感障碍:具有SVM-FOBA算法的特征选择分析
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:勘误:重度抑郁,双相情感障碍和自杀的家族史对重度抑郁和双相情感障碍患者的临床特征的影响(Eur Arch Psychiatry Clin Neurosci(2013)263(617))