Random forest classification of depression status based on subcortical brain morphometry following electroconvulsive therapy.
Benjamin S. C. WadeShantanu H. JoshiTara PirniaAmber M. LeaverRoger P. WoodsPaul M. ThompsonRandall EspinozaKatherine L. NarrPublished in: ISBI (2015)
Keyphrases
- random forest
- decision trees
- feature set
- fold cross validation
- cancer classification
- random forests
- decision tree learning algorithms
- image classification
- classification accuracy
- machine learning
- feature importance
- ensemble classifier
- multi label
- support vector machine
- feature selection
- benchmark datasets
- text classification
- machine learning methods
- ensemble methods
- feature extraction
- support vector
- supervised learning
- data sets
- eeg signals
- classification models
- image processing
- computer vision
- semi supervised
- training set