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...
| Publicado en: | Frontiers in Aging Neuroscience pp. 1 - 13 |
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| Autores principales: | , , |
| Formato: | Journal Article |
| Publicado: |
Frontiers Media S.A.
10/6/2017
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| Acceso en línea: | Ver este registro en EBSCOhost |