Breast cancer classification with reduced feature set using association rules and support vector machine.
Abderrahmane Ed-daoudyKhalil MaalmiPublished in: Netw. Model. Anal. Health Informatics Bioinform. (2020)
Keyphrases
- breast cancer
- support vector machine
- breast cancer diagnosis
- bladder cancer
- association rules
- computer aided detection
- mammogram images
- support vector
- diagnosis of breast cancer
- logistic regression
- microcalcification clusters
- roc analysis
- svm classifier
- support vector machine svm
- cancer datasets
- early detection
- computer aided diagnosis
- feature vectors
- feature selection
- benign and malignant
- machine learning
- breast cancer patients
- outcome prediction
- training set
- data mining
- feature extraction
- survival analysis
- k nearest neighbor
- classification accuracy
- breast tissue
- text classification
- decision trees
- mammographic images
- pairwise
- feature space
- correct classification
- computer aided
- cancer patients
- knowledge discovery
- training data
- data mining and statistical
- data sets