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Machine Learning Approaches for the Neuroimaging Study of Alzheimer's Disease
April 2011 (vol. 44 no. 4)
pp. 99-101
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.
Index Terms:
sensor fusion,brain,diseases,learning (artificial intelligence),medical image processing,functional brain connectivity,machine learning approach,neuroimaging study,Alzheimer disease,multisource data fusion,biomarker identification,Magnetic resonance imaging,Positron emission tomography,Machine learning,Neuroimaging,Genetics,Alzheimer's disease,Multiple kernel learning,Machine learning techniques,Neuroimaging,Alzheimer's disease
Citation:
"Machine Learning Approaches for the Neuroimaging Study of Alzheimer's Disease," Computer, vol. 44, no. 4, pp. 99-101, April 2011, doi:10.1109/MC.2011.117
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