Predicting amyloid risk by machine learning algorithms based on the A4 screen data: Application to the Japanese Trial‐Ready Cohort study

BACKGROUND: Selecting cognitively normal elderly individuals with higher risk of brain amyloid deposition is critical to the success of prevention trials for Alzheimer's disease (AD). METHODS: Based on the Anti‐Amyloid Treatment in Asymptomatic Alzheimer's Disease study data, we built mach...

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Detalhes bibliográficos
Publicado no:Alzheimers Dement (N Y)
Main Authors: Sato, Kenichiro, Ihara, Ryoko, Suzuki, Kazushi, Niimi, Yoshiki, Toda, Tatsushi, Jimenez‐Maggiora, Gustavo, Langford, Oliver, Donohue, Michael C., Raman, Rema, Aisen, Paul S., Sperling, Reisa A., Iwata, Atsushi, Iwatsubo, Takeshi
Formato: Artigo
Idioma:Inglês
Publicado em: John Wiley and Sons Inc. 2021
Assuntos:
Research Articles
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC7988864/
https://ncbi.nlm.nih.gov/pubmed/33778148
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1002/trc2.12135
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