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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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Bibliografski detalji
Izdano u:Front Aging Neurosci
Glavni autori: Sarica, Alessia, Cerasa, Antonio, Quattrone, Aldo
Format: Artigo
Jezik:Inglês
Izdano: Frontiers Media S.A. 2017
Teme:
Online pristup: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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