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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Detalles Bibliográficos
Autores principales: 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: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2021
Materias:
Research Articles
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7988864/
https://www.ncbi.nlm.nih.gov/pubmed/33778148
http://dx.doi.org/10.1002/trc2.12135

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7988864/
https://www.ncbi.nlm.nih.gov/pubmed/33778148
http://dx.doi.org/10.1002/trc2.12135

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