Decomposition of Classification Task with Selection of Classifiers on the Medical Diagnosis Example.
Robert BurdukMarcin ZmyslonyPublished in: HAIS (2) (2012)
Keyphrases
- medical diagnosis
- classification systems
- classification algorithm
- support vector
- decision trees
- classification models
- classification method
- svm classifier
- supervised classification
- training set
- classification accuracy
- rule based classifier
- multiple classifiers
- majority voting
- classification rate
- classification process
- feature selection
- training samples
- medical images
- improves the classification accuracy
- k nearest neighbour
- machine learning methods
- decision boundary
- class labels
- nearest neighbor classifier
- ensemble classifier
- accurate classification
- diagnostic reasoning
- multi category
- naive bayes
- image classification
- feature set
- machine learning algorithms
- machine learning
- binary classifiers
- classification procedure
- classifier combination
- support vector machine
- training data
- extracted features
- medical decision making
- feature space
- expert systems
- higher classification accuracy
- multiclass classification
- nearest neighbour
- classification decisions
- artificial intelligence
- medical knowledge
- text classification
- knn
- accurate classifiers
- multiple classifier systems
- individual classifiers
- instance selection
- class imbalance
- supervised learning