Title :
Machine Learning Approaches for the Neuroimaging Study of Alzheimer´s Disease
Author :
Ye, Jieping ; Wu, Teresa ; Li, Jing ; Chen, Kewei
Author_Institution :
Arizona State Univ., Tempe, AZ, USA
fDate :
4/1/2011 12:00:00 AM
Abstract :
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.
Keywords :
brain; diseases; learning (artificial intelligence); medical image processing; sensor fusion; Alzheimer disease; biomarker identification; functional brain connectivity; machine learning approach; multisource data fusion; neuroimaging study; Alzheimer´s disease; Genetics; Machine learning; Magnetic resonance imaging; Neuroimaging; Positron emission tomography; Alzheimer´s disease; Machine learning techniques; Multiple kernel learning; Neuroimaging;
DOI :
10.1109/MC.2011.117
