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

Sarica, Alessia; Cerasa, Antonio; Quattrone, Aldo

doi:10.3389/fnagi.2017.00329

Public

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

Published in Frontiers in Aging Neuroscience • Oct 6, 2017

Authors:

Alessia Sarica

Antonio Cerasa

Aldo Quattrone

Abstract

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...

Subject

Random forest

Neuroimaging

Overfitting

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