A highly predictive signature of cognition and brain atrophy for progression to Alzheimer's dementia

BACKGROUND: Clinical trials in Alzheimer's disease need to enroll patients whose cognition will decline over time, if left untreated, in order to demonstrate the efficacy of an intervention. Machine learning models used to screen for patients at risk of progression to dementia should therefore...

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Опубликовано в: :Gigascience
Главные авторы: Tam, Angela, Dansereau, Christian, Iturria-Medina, Yasser, Urchs, Sebastian, Orban, Pierre, Sharmarke, Hanad, Breitner, John, Bellec, Pierre
Формат: Artigo
Язык:Inglês
Опубликовано: Oxford University Press 2019
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Research
Online-ссылка:https://ncbi.nlm.nih.gov/pmc/articles/PMC6511068/
https://ncbi.nlm.nih.gov/pubmed/31077314
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1093/gigascience/giz055
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