Normative modelling using deep autoencoders: a multi-cohort study on mild cognitive impairment and Alzheimer's disease

Normative modelling is an emerging method for quantifying how individuals deviate from the healthy populational pattern. Several machine learning models have been implemented to develop normative models to investigate brain disorders, including regression, support vector machines and Gaussian proces...

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Vydané v:	bioRxiv
Hlavní autori:	Pinaya, Walter H L, Scarpazza, Cristina, Garcia-Dias, Rafael, Vieira, Sandra, Baecker, Lea, Da Costa, Pedro F, Redolfi, Alberto, Frisoni, Giovanni B, Pievani, Michela, Calhoun, Vince D, Sato, João R, Mechelli, Andrea, Alzheimer's Disease Neuroimaging Initiative, Australian Imaging Biomarkers And Lifestyle Flagship Study Of Ageing
Médium:	Paper
Jazyk:	English
Vydavateľské údaje:	Cold Spring Harbor Cold Spring Harbor Laboratory Press 11.02.2020 Cold Spring Harbor Laboratory
Vydanie:	1.1
Predmet:	Alzheimer's disease Cognitive ability Learning algorithms Machine learning Neural networks Neurodegenerative diseases Neuroimaging Neuroscience Regression analysis Ventricle Normative modelling autoencoders deep learning Alzheimer’s disease mild cognitive impairment anomaly detection neuroimaging
ISSN:	2692-8205, 2692-8205
On-line prístup:	Získať plný text
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