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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Detalles Bibliográficos
Autores principales: 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: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2019
Materias:
Short Report
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6928349/
https://www.ncbi.nlm.nih.gov/pubmed/31890857
http://dx.doi.org/10.1016/j.trci.2019.11.001

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