NeuroscienceJournal of Neuroscience MethodsPeer-reviewed
Random Forest Feature Selection, Fusion and Ensemble Strategy: Combining Multiple Morphological MRI Measures to Discriminate among healthy elderly, MCI, cMCI and Alzheimer's disease patients: from the Alzheimer’s disease neuroimaging initiative (ADNI) database
Stavros I. Dimitriadis, Dimitris Liparas, Magda Tsolaki
The paper uses a Random Forest-based ensemble strategy to classify four groups of patients using MRI features from the ADNI database, achieving 61.9% accuracy in a blind validation set.
141 citationstop 1%