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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Bibliografski detalji
Izdano u:Alzheimers Dement (N Y)
Glavni autori: 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
Format: Artigo
Jezik:Inglês
Izdano: Elsevier 2019
Teme:
Short Report
Online pristup: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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