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Random Forest Algorithm for the Classification of Neuroimaging Data in Alzheimer's Disease: A Systematic Review

Objective: Machine learning classification has been the most important computational development in the last years to satisfy the primary need of clinicians for automatic early diagnosis and prognosis. Nowadays, Random Forest (RF) algorithm has been successfully applied for reducing high dimensional...

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Detalhes bibliográficos
Publicado no:Front Aging Neurosci
Main Authors: Sarica, Alessia, Cerasa, Antonio, Quattrone, Aldo
Formato: Artigo
Idioma:Inglês
Publicado em: Frontiers Media S.A. 2017
Assuntos:
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC5635046/
https://ncbi.nlm.nih.gov/pubmed/29056906
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3389/fnagi.2017.00329
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