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

Jieping Ye, Teresa Wu, Jing Li, Kewei Chen

Research output: Contribution to journalArticle

33 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 languageEnglish (US)
Article number5742017
Pages (from-to)99-101
Number of pages3
JournalComputer
Volume44
Issue number4
DOIs
StatePublished - Apr 2011

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Keywords

  • Alzheimer's disease
  • Machine learning techniques
  • Multiple kernel learning
  • Neuroimaging

ASJC Scopus subject areas

  • Computer Science(all)

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