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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Detalles Bibliográficos
Autores principales: Sarica, Alessia, Cerasa, Antonio, Quattrone, Aldo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2017
Materias:
Neuroscience
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5635046/
https://www.ncbi.nlm.nih.gov/pubmed/29056906
http://dx.doi.org/10.3389/fnagi.2017.00329

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5635046/
https://www.ncbi.nlm.nih.gov/pubmed/29056906
http://dx.doi.org/10.3389/fnagi.2017.00329

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