Training neural network classifiers for medical decision making: The effects of imbalanced datasets on classification performance.
Maciej A. MazurowskiPiotr A. HabasJacek M. ZuradaJoseph Y. LoJay A. BakerGeorgia D. TourassiPublished in: Neural Networks (2008)
Keyphrases
- imbalanced datasets
- medical decision making
- training dataset
- cost sensitive learning
- training set
- class imbalance
- decision trees
- supervised learning
- classification accuracy
- medical diagnosis
- training samples
- imbalanced data
- class distribution
- clinical diagnosis
- support vector machine
- training process
- sampling methods
- cost sensitive
- pattern classification
- training data
- feature extraction
- image classification
- machine learning
- support vector
- feature space
- classification algorithm
- training examples
- naive bayes
- feature vectors
- ensemble methods
- classification models
- machine learning methods
- svm classifier
- data analysis
- class labels
- machine learning algorithms
- text classification
- expert systems