Impact of Nature of Medical Data on Machine and Deep Learning for Imbalanced Datasets: Clinical Validity of SMOTE Is Questionable.
Seifollah GholampourPublished in: Mach. Learn. Knowl. Extr. (2024)
Keyphrases
- medical data
- imbalanced datasets
- deep learning
- class distribution
- cost sensitive learning
- medical images
- class imbalance
- unsupervised learning
- imbalanced data
- ensemble methods
- sampling methods
- machine learning
- decision trees
- cost sensitive
- training dataset
- feature selection algorithms
- mental models
- data mining
- minority class
- real world
- feature selection
- data sets
- random sampling
- test set
- training examples
- maximum likelihood
- natural language processing
- classification accuracy
- active learning
- training data
- face recognition