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.
- DOI
- 10.1016/j.trci.2019.11.001
- Published
- 2019
- Container
- Alzheimer's & dementia (New York, N. Y.)
- Publisher
- Not recorded
- Open access
- yes
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BibTeX
@article{allodium:10.1016/j.trci.2019.11.001,
title = {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.},
author = {Stamate D and Kim M and Proitsi P and Westwood S and Baird A and Nevado-Holgado A and Hye A and Bos I and Vos SJB and Vandenberghe R and Teunissen CE and Kate MT and Scheltens P and Gabel S and Meersmans K and Blin O and Richardson J and De Roeck E and Engelborghs S and Sleegers K and Bordet R and Ramit L and Kettunen P and Tsolaki M and Verhey F and Alcolea D and Lléo A and Peyratout G and Tainta M and Johannsen P and Freund-Levi Y and Frölich L and Dobricic V and Frisoni GB and Molinuevo JL and Wallin A and Popp J and Martinez-Lage P and Bertram L and Blennow K and Zetterberg H and Streffer J and Visser PJ and Lovestone S and Legido-Quigley C},
year = {2019},
journal = {Alzheimer's \& dementia (New York, N. Y.)},
doi = {10.1016/j.trci.2019.11.001},
url = {https://doi.org/10.1016/j.trci.2019.11.001}
}RIS
TY - JOUR TI - 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. AU - Stamate D AU - Kim M AU - Proitsi P AU - Westwood S AU - Baird A AU - Nevado-Holgado A AU - Hye A AU - Bos I AU - Vos SJB AU - Vandenberghe R AU - Teunissen CE AU - Kate MT AU - Scheltens P AU - Gabel S AU - Meersmans K AU - Blin O AU - Richardson J AU - De Roeck E AU - Engelborghs S AU - Sleegers K AU - Bordet R AU - Ramit L AU - Kettunen P AU - Tsolaki M AU - Verhey F AU - Alcolea D AU - Lléo A AU - Peyratout G AU - Tainta M AU - Johannsen P AU - Freund-Levi Y AU - Frölich L AU - Dobricic V AU - Frisoni GB AU - Molinuevo JL AU - Wallin A AU - Popp J AU - Martinez-Lage P AU - Bertram L AU - Blennow K AU - Zetterberg H AU - Streffer J AU - Visser PJ AU - Lovestone S AU - Legido-Quigley C PY - 2019 JO - Alzheimer's & dementia (New York, N. Y.) DO - 10.1016/j.trci.2019.11.001 UR - https://doi.org/10.1016/j.trci.2019.11.001 ER -
APA
D, S., M, K., P, P., S, W., A, B., A, N., A, H., I, B., SJB, V., R, V., CE, T., MT, K., P, S., S, G., K, M., O, B., J, R., E, D. R., S, E., K, S., R, B., L, R., P, K., M, T., F, V., D, A., A, L., G, P., M, T., P, J., Y, F., L, F., V, D., GB, F., JL, M., A, W., J, P., P, M., L, B., K, B., H, Z., J, S., PJ, V., S, L., & C, L. (2019). 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.. Alzheimer's & dementia (New York, N. Y.). https://doi.org/10.1016/j.trci.2019.11.001
Source records
- pubmed · retrieved 2026-09-26T14:28:26.896Z