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P2–196: Predicting prodromal Alzheimer's disease in people with mild cognitive impairment using multicenter diffusion‐tensor imaging data and machine learning algorithms
Author(s) -
Dyrba Martin,
Ewers Michael,
Wegrzyn Martin,
Plant Claudia,
Oswald Annahita,
Pievani Michela,
Bokde Arun,
Fellgiebel Andreas,
Filippi Massimo,
Hausner Lucrezia,
Barkhof Frederik,
Hampel Harald,
Klöppel Stefan,
Hauenstein Karlheinz,
Kirste Thomas,
Teipel Stefan
Publication year - 2013
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.2013.05.841
Subject(s) - diffusion mri , fractional anisotropy , white matter , neuroimaging , voxel , cognitive impairment , dementia , artificial intelligence , psychology , support vector machine , medicine , magnetic resonance imaging , cognition , neuroscience , disease , radiology , computer science