COMBINED MULTI-KERNEL SUPPORT VECTOR MACHINE CLASSIFIER AND BRAIN STRUCTURAL NETWORK FEATURES FOR THE INDIVIDUAL CLASSIFICATION OF SUBJECTIVE COGNITIVE DECLINE AND AMNESTIC MILD COGNITIVE IMPAIRMENT PATIENTS
机构：[1]XuanWu Hospital of Capital Medical University, Beijing, China首都医科大学宣武医院[2]State Key Laboratory of Cognitive Neuroscience and Learning & IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing, China.
第一作者机构：[1]XuanWu Hospital of Capital Medical University, Beijing, China
通讯作者：
推荐引用方式(GB/T 7714)：
Xuanyu Li,Weijie Huang,Ni Shu,et al.COMBINED MULTI-KERNEL SUPPORT VECTOR MACHINE CLASSIFIER AND BRAIN STRUCTURAL NETWORK FEATURES FOR THE INDIVIDUAL CLASSIFICATION OF SUBJECTIVE COGNITIVE DECLINE AND AMNESTIC MILD COGNITIVE IMPAIRMENT PATIENTS[J].Alzheimer’s & dementia: the journal of the Alzheimer’s Association.2018,(7):doi:10.1016/j.jalz.2018.06.378.
APA：
Xuanyu Li,Weijie Huang,Ni Shu&Ying Han.(2018).COMBINED MULTI-KERNEL SUPPORT VECTOR MACHINE CLASSIFIER AND BRAIN STRUCTURAL NETWORK FEATURES FOR THE INDIVIDUAL CLASSIFICATION OF SUBJECTIVE COGNITIVE DECLINE AND AMNESTIC MILD COGNITIVE IMPAIRMENT PATIENTS.Alzheimer’s & dementia: the journal of the Alzheimer’s Association,,(7)
MLA：
Xuanyu Li,et al."COMBINED MULTI-KERNEL SUPPORT VECTOR MACHINE CLASSIFIER AND BRAIN STRUCTURAL NETWORK FEATURES FOR THE INDIVIDUAL CLASSIFICATION OF SUBJECTIVE COGNITIVE DECLINE AND AMNESTIC MILD COGNITIVE IMPAIRMENT PATIENTS".Alzheimer’s & dementia: the journal of the Alzheimer’s Association ..7(2018)
医学