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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Detalles Bibliográficos
Autores principales: Tam, Angela, Dansereau, Christian, Iturria-Medina, Yasser, Urchs, Sebastian, Orban, Pierre, Sharmarke, Hanad, Breitner, John, Bellec, Pierre
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2019
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6511068/
https://www.ncbi.nlm.nih.gov/pubmed/31077314
http://dx.doi.org/10.1093/gigascience/giz055

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6511068/
https://www.ncbi.nlm.nih.gov/pubmed/31077314
http://dx.doi.org/10.1093/gigascience/giz055

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