A robust and interpretable machine learning approach using multimodal biological data to predict future pathological tau accumulation

The early stages of Alzheimer’s disease (AD) involve interactions between multiple pathophysiological processes. Although these processes are well studied, we still lack robust tools to predict individualised trajectories of disease progression. Here, we employ a robust and interpretable machine lea...

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Detalles Bibliográficos
Autores principales: Giorgio, Joseph, Jagust, William J., Baker, Suzanne, Landau, Susan M., Tino, Peter, Kourtzi, Zoe
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8989879/
https://www.ncbi.nlm.nih.gov/pubmed/35393421
http://dx.doi.org/10.1038/s41467-022-28795-7

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8989879/
https://www.ncbi.nlm.nih.gov/pubmed/35393421
http://dx.doi.org/10.1038/s41467-022-28795-7

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