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...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:Gigascience
Hauptverfasser: Tam, Angela, Dansereau, Christian, Iturria-Medina, Yasser, Urchs, Sebastian, Orban, Pierre, Sharmarke, Hanad, Breitner, John, Bellec, Pierre
Format: Artigo
Sprache:Inglês
Veröffentlicht: Oxford University Press 2019
Schlagworte:
Research
Online Zugang: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
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!

Ähnliche Einträge