Machine learning methods to predict amyloid positivity using domain scores from cognitive tests

Amyloid-[Formula: see text] (A[Formula: see text] ) is the target in many clinical trials for Alzheimer’s disease (AD). Preclinical AD patients are heterogeneous with regards to different backgrounds and diagnosis. Accurately predicting A[Formula: see text] status of participants by using machine le...

Descripción completa

Detalles Bibliográficos
Autores principales: Shan, Guogen, Bernick, Charles, Caldwell, Jessica Z. K., Ritter, Aaron
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7921140/
https://www.ncbi.nlm.nih.gov/pubmed/33649452
http://dx.doi.org/10.1038/s41598-021-83911-9

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7921140/
https://www.ncbi.nlm.nih.gov/pubmed/33649452
http://dx.doi.org/10.1038/s41598-021-83911-9

Ejemplares similares