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A metabolite-based machine learning approach to diagnose Alzheimer-type dementia in blood: Results from the European Medical Information Framework for Alzheimer disease biomarker discovery cohort

INTRODUCTION: Machine learning (ML) may harbor the potential to capture the metabolic complexity in Alzheimer Disease (AD). Here we set out to test the performance of metabolites in blood to categorize AD when compared to CSF biomarkers. METHODS: This study analyzed samples from 242 cognitively norm...

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Detalhes bibliográficos
Publicado no:Alzheimers Dement (N Y)
Main Authors: Stamate, Daniel, Kim, Min, Proitsi, Petroula, Westwood, Sarah, Baird, Alison, Nevado-Holgado, Alejo, Hye, Abdul, Bos, Isabelle, Vos, Stephanie J.B., Vandenberghe, Rik, Teunissen, Charlotte E., Kate, Mara Ten, Scheltens, Philip, Gabel, Silvy, Meersmans, Karen, Blin, Olivier, Richardson, Jill, De Roeck, Ellen, Engelborghs, Sebastiaan, Sleegers, Kristel, Bordet, Régis, Ramit, Lorena, Kettunen, Petronella, Tsolaki, Magda, Verhey, Frans, Alcolea, Daniel, Lléo, Alberto, Peyratout, Gwendoline, Tainta, Mikel, Johannsen, Peter, Freund-Levi, Yvonne, Frölich, Lutz, Dobricic, Valerija, Frisoni, Giovanni B., Molinuevo, José L., Wallin, Anders, Popp, Julius, Martinez-Lage, Pablo, Bertram, Lars, Blennow, Kaj, Zetterberg, Henrik, Streffer, Johannes, Visser, Pieter J., Lovestone, Simon, Legido-Quigley, Cristina
Formato: Artigo
Idioma:Inglês
Publicado em: Elsevier 2019
Assuntos:
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC6928349/
https://ncbi.nlm.nih.gov/pubmed/31890857
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.trci.2019.11.001
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