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基于独立成分子空间支持向量机的精神疾病磁共振影像学分类研究 学位论文
, 中国科学院自动化研究所: 中国科学院大学, 2019
Authors:  高爽
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独立成分分析  子空间相似度  支持向量机  磁共振影像  精神疾病分类  
Machine learning in major depression: From classification to treatment outcome prediction 期刊论文
CNS NEUROSCIENCE & THERAPEUTICS, 2018, 卷号: 24, 期号: 11, 页码: 1037-1052
Authors:  Gao, Shuang;  Calhoun, Vince D.;  Sui, Jing
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classification  machine learning  magnetic resonance imaging  major depressive disorder  review  
Complexity in mood disorder diagnosis: fMRI connectivity networks predicted medication-class of response in complex patients 期刊论文
ACTA PSYCHIATRICA SCANDINAVICA, 2018, 卷号: 138, 期号: 5, 页码: 472-482
Authors:  Osuch, E.;  Gao, S.;  Wammes, M.;  Theberge, J.;  Willimason, P.;  Neufeld, R. J.;  Du, Y.;  Sui, J.;  Calhoun, V.
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mood disorders  bipolar disorder  functional neuroimaging  machine learning  differential diagnosis  
Discriminating Bipolar Disorder from Major Depression Based on Kernel Svm Using Functional Independent Components 会议论文
, Tokyo, Japan., 2017/9/25-28
Authors:  Shuang Gao;  Elizabeth A Osuch;  Michael Wammes;  Jean Théberge;  Tianzi Jiang;  Vince D Calhoun;  Sui Jing(隋婧)
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Independent Component Analysis  Linear Subspace  Kernel Svm  Bipolar Disorder  Major Depression Disorder  Fmri Data  Schizophrenia  Unipolar  Amygdala