Random Forest ensembles for detection and prediction of Alzheimer's disease with a good between-cohort robustness

NeuroImage: Clinical

Volumn 6, Issue , 2014, Pages 115-125

  Lebedev, A V ^a   Westman, E ^b   Van Westen, G J P ^c   Kramberger, M G ^d   Lundervold, A ^e,f   Aarsland, D ^a,b   Soininen, H ^g   Kloszewska I ^h   Mecocci, P ⁱ   Tsolaki, M ^j   Vellas, B ^k   Lovestone, S ^l,m   Simmons, A ^l,m  

^a STAVANGER UNIVERSITY HOSPITAL   (Norway)

^b KAROLINSKA INSTITUTE   (Sweden)

^c WELLCOME TRUST SANGER INSTITUTE   (United Kingdom)

^d UNIVERSITY MEDICAL CENTRE LJUBLJANA   (Slovenia)

^e UNIVERSITY OF BERGEN   (Norway)

^f HAUKELAND UNIVERSITY HOSPITAL   (Norway)

^g UNIVERSITY OF EASTERN FINLAND   (Finland)

^h MEDICAL UNIVERSITY OF LODZ   (Poland)

ⁱ UNIVERSITY OF PERUGIA   (Italy)

^j ARISTOTLE UNIVERSITY OF THESSALONIKI   (Greece)

^k TOULOUSE UNIVERSITY HOSPITAL   (France)

^l KING'S COLLEGE LONDON   (United Kingdom)

^m King s College London   (United Kingdom)

more..

Author keywords

AddNeuroMed; ADNI; Alzheimer's disease; Computer aided diagnosis; Mild cognitive impairment; Multi center study; Random Forest; Structural MRI

Indexed keywords

APOLIPOPROTEIN E;

AGE; AGED; ALZHEIMER DISEASE; AMYGDALOID NUCLEUS; ARTICLE; COHORT ANALYSIS; CONTROLLED STUDY; CORTICAL THICKNESS (BRAIN); DEMENTIA; DIAGNOSTIC ACCURACY; DIAGNOSTIC TEST ACCURACY STUDY; EDUCATIONAL STATUS; ENTORHINAL CORTEX; FEMALE; FOLLOW UP; GENOTYPE; HIPPOCAMPUS; HUMAN; IMAGE PROCESSING; IMAGE RECONSTRUCTION; MAJOR CLINICAL STUDY; MALE; MEMORY; MILD COGNITIVE IMPAIRMENT; MORPHOMETRICS; NEUROANATOMY; NEUROIMAGING; PREDICTIVE VALUE; RANDOM FOREST; SENSITIVITY AND SPECIFICITY; SEX; SUPPORT VECTOR MACHINE; COMPARATIVE STUDY; METABOLISM; NUCLEAR MAGNETIC RESONANCE IMAGING; PROCEDURES; RANDOMIZED CONTROLLED TRIAL; STANDARDS; VERY ELDERLY;

AGED; AGED, 80 AND OVER; ALZHEIMER DISEASE; COHORT STUDIES; FEMALE; FOLLOW-UP STUDIES; HUMANS; MAGNETIC RESONANCE IMAGING; MALE; PREDICTIVE VALUE OF TESTS;

EID: 84907483443     PISSN: None     EISSN: 22131582     Source Type: Journal    
DOI: 10.1016/j.nicl.2014.08.023     Document Type: Article

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