A hybrid cost-sensitive machine learning approach for the classification of intelligent disease diagnosis.
Xi ChenWenquan JinQirui WuWenbo ZhangHaiming LiangPublished in: J. Intell. Fuzzy Syst. (2022)
Keyphrases
- cost sensitive
- cost sensitive learning
- machine learning
- disease diagnosis
- cost sensitive classification
- active learning
- misclassification costs
- support vector machine
- multi class
- class imbalance
- binary classification
- class distribution
- naive bayes
- multiclass classification
- feature selection
- data mining
- machine learning methods
- decision trees
- pattern recognition
- model selection
- classification accuracy
- learning algorithm
- text classification
- support vector machine svm
- semi supervised learning
- error rate
- text mining
- machine learning algorithms
- supervised learning
- training samples
- feature space
- data analysis
- probability estimation
- support vector
- information retrieval
- computer vision