Random Forest ensembles for detection and prediction of Alzheimer's disease with a good between-cohort robustness()

Computer-aided diagnosis of Alzheimer's disease (AD) is a rapidly developing field of neuroimaging with strong potential to be used in practice. In this context, assessment of models' robustness to noise and imaging protocol differences together with post-processing and tuning strategies a...

Descripción completa

Detalles Bibliográficos
Autores principales: Lebedev, A.V., Westman, E., Van Westen, G.J.P., Kramberger, M.G., Lundervold, A., Aarsland, D., Soininen, H., Kłoszewska, I., Mecocci, P., Tsolaki, M., Vellas, B., Lovestone, S., Simmons, A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2014
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4215532/
https://www.ncbi.nlm.nih.gov/pubmed/25379423
http://dx.doi.org/10.1016/j.nicl.2014.08.023

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4215532/
https://www.ncbi.nlm.nih.gov/pubmed/25379423
http://dx.doi.org/10.1016/j.nicl.2014.08.023

Ejemplares similares