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[P3–401]: EARLY DIAGNOSIS OF ALZHEIMER's DISEASE USING SUBJECT‐SPECIFIC MODELS OF FDG‐PET DATA
Author(s) -
Burgos Ni,
SamperGonzález Jorge,
Cardoso M. Jorge,
Durrleman Stanley,
Ourselin Sebastien,
Colliot Olivier
Publication year - 2017
Publication title -
alzheimer's and dementia
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 6.713
H-Index - 118
eISSN - 1552-5279
pISSN - 1552-5260
DOI - 10.1016/j.jalz.2017.06.1618
Subject(s) - abnormality , normality , confounding , dementia , artificial intelligence , support vector machine , population , pattern recognition (psychology) , neuroimaging , disease , medicine , computer science , mathematics , pathology , statistics , psychiatry , environmental health
International audienceBackground: In machine learning classification methods developed for dementia studies
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