• DocumentCode
    1487748
  • 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
  • Volume
    44
  • Issue
    4
  • fYear
    2011
  • fDate
    4/1/2011 12:00:00 AM
  • Firstpage
    99
  • Lastpage
    101
  • 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;
  • fLanguage
    English
  • Journal_Title
    Computer
  • Publisher
    ieee
  • ISSN
    0018-9162
  • Type

    jour

  • DOI
    10.1109/MC.2011.117
  • Filename
    5742017
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=1487748