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

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; 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

doi:10.1016/j.trci.2019.11.001

Scientific article

English

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

Published inAlzheimer's & dementia, vol. 5, p. 933-938

Publication date2019

Abstract

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.

Keywords

Alzheimer's disease
Biomarkers
EMIF-AD
Machine-Learning
Metabolomics

Affiliation entities

Faculté de médecine / Section de médecine clinique / Département de psychiatrie

Research groups

Troubles de mémoire et maladie d'Alzeimer (935)

Funding

European Commission - European Medical Information Framework [115372]

Citation (ISO format)

STAMATE, Daniel et al. 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. In: Alzheimer’s & dementia, 2019, vol. 5, p. 933–938. doi: 10.1016/j.trci.2019.11.001