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Machine Learning Approaches for the Neuroimaging Study of Alzheimer's Disease
被引：37
作者：
Ye, Jieping
[1
]
Wu, Teresa
Li, Jing
Chen, Kewei
[2
]
机构：
[1] Arizona State Univ, Ctr Evolutionary Med & Informat, Tempe, AZ 85287 USA
[2] Shanghai Jiao Tong Univ, Med X Res Inst, Shanghai, Peoples R China
来源：
基金：
美国国家科学基金会;
关键词：
Alzheimer's disease;
Machine learning techniques;
Multiple kernel learning;
Neuroimaging;
D O I：
10.1109/MC.2011.117
中图分类号：
TP3 [计算技术、计算机技术];
学科分类号：
0812 ;
摘要：
Machine learning tools aid many Alzheimer's disease-related investigations by enabling multisource data fusion and biomarker identification as well as analysis of functional brain connectivity. © 2006 IEEE.
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页码：99 / 101
页数：3
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