Machine learning approaches for the neuroimaging study of Alzheimer's disease

Jieping Ye; Teresa Wu; Jing Li; Kewei Chen

doi:10.1109/MC.2011.117

Machine learning approaches for the neuroimaging study of Alzheimer's disease

Jieping Ye, Teresa Wu, Jing Li, Kewei Chen

Research output: Contribution to journal › Article › peer-review

34 Scopus citations

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.

Original language	English (US)
Article number	5742017
Pages (from-to)	99-101
Number of pages	3
Journal	Computer
Volume	44
Issue number	4
DOIs	https://doi.org/10.1109/MC.2011.117
State	Published - Apr 2011

Keywords

Alzheimer's disease
Machine learning techniques
Multiple kernel learning
Neuroimaging

ASJC Scopus subject areas

Computer Science(all)

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title = "Machine learning approaches for the neuroimaging study of Alzheimer's disease",

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 = "Alzheimer's disease, Machine learning techniques, Multiple kernel learning, Neuroimaging",

author = "Jieping Ye and Teresa Wu and Jing Li and Kewei Chen",

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