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Using normative modelling to detect disease progression in ..:

Pinaya, Walter H L ; Scarpazza, Cristina ; Garcia-Dias, Rafael...
info:eu-repo/semantics/altIdentifier/doi/10.1038/s41598-021-95098-0. , 2021

Link: https://archive-ouverte.unige.ch/unige:170831

RT Journal
T1 <Title>Using normative modelling to detect disease progression in mild cognitive impairment and Alzheimer's disease in a cross-sectional multi-cohort study</Title>

UL https://suche.suub.uni-bremen.de/peid=base-ftunivgeneve:oai:unige.ch:aou:unige:170831&Exemplar=1&LAN=DE
				
A1 Pinaya, Walter H L
A1 Scarpazza, Cristina
A1 Garcia-Dias, Rafael
A1 Vieira, Sandra
A1 Baecker, Lea
A1 F da Costa, Pedro
A1 Redolfi, Alberto
A1 Frisoni, Giovanni
A1 Pievani, Michela
A1 Calhoun, Vince D
A1 Sato, João R
A1 Mechelli, Andrea
YR 2021
K1 info:eu-repo/classification/ddc/618.97
K1 Aged
K1 Alzheimer Disease / diagnostic imaging
K1 Alzheimer Disease / epidemiology
K1 Alzheimer Disease / pathology
K1 Brain / diagnostic imaging
K1 Brain / pathology
K1 Case-Control Studies
K1 Cognitive Dysfunction / diagnostic imaging
K1 Cognitive Dysfunction / epidemiology
K1 Cognitive Dysfunction / pathology
K1 Cohort Studies
K1 Cross-Sectional Studies
K1 Disease Progression
K1 Female
K1 Humans
K1 Machine Learning
K1 Male
K1 Middle Aged
K1 Models
K1 Statistical
K1 Neural Networks
K1 Computer
K1 Neuroimaging / methods
JF info:eu-repo/semantics/altIdentifier/doi/10.1038/s41598-021-95098-0
LK http://dx.doi.org/https://archive-ouverte.unige.ch/unige:170831
DO https://archive-ouverte.unige.ch/unige:170831
SF ELIB - SuUB Bremen

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