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A Novel Enhanced Random Forest for Medical Data Classification using Correlation Pearson and Best Number of Trees.
Ilhem Tarchoune
Akila Djebbar
Hayet Farida Merouani
Harfi Rania
Published in:
J. Comput. Sci. Eng. (2024)
Keyphrases
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random forest
medical data
decision trees
feature set
feature extraction
medical images
fold cross validation
classification accuracy
small number
random forests
medical data mining
data mining
clinical data
support vector machine
ensemble methods
test set
image classification
active learning
feature selection