Accurate multimodal probabilistic prediction of conversion to Alzheimer's disease in patients with mild cognitive impairment

NeuroImage: Clinical

Volumn 2, Issue 1, 2013, Pages 735-745

  Young, Jonathan ^a   Modat, Marc ^a   Cardoso, Manuel J ^a   Mendelson, Alex ^a   Cash, Dave ^a,b   Ourselin, Sebastien ^a,b  

^a UNIVERSITY COLLEGE LONDON   (United Kingdom)

^b UNIVERSITY COLLEGE LONDON   (United Kingdom)

Author keywords

Alzheimer's disease; Gaussian process; Mild cognitive impairment; Multimodality; Probabilistic classification; Risk scores; Support vector machine

Indexed keywords

APOLIPOPROTEIN E; FLUORODEOXYGLUCOSE F 18;

ACCURACY; ADULT; AGED; ALZHEIMER DISEASE; ARTICLE; BAYESIAN LEARNING; CEREBROSPINAL FLUID; CONTROLLED STUDY; FEMALE; GENOTYPE; HUMAN; HUMAN TISSUE; KERNEL METHOD; MACHINE LEARNING; MAJOR CLINICAL STUDY; MALE; MILD COGNITIVE IMPAIRMENT; NUCLEAR MAGNETIC RESONANCE IMAGING; POSITRON EMISSION TOMOGRAPHY; PREDICTION; PRIORITY JOURNAL; PROBABILITY; SUPPORT VECTOR MACHINE;

EID: 84879076294     PISSN: None     EISSN: 22131582     Source Type: Journal    
DOI: 10.1016/j.nicl.2013.05.004     Document Type: Article

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