Detection and classification of breast cancer using logistic regression feature selection and GMDH classifier.
Ziba KhandezaminMarjan NaderanMohammad Javad RashtiPublished in: J. Biomed. Informatics (2020)
Keyphrases
- logistic regression
- breast cancer
- fold cross validation
- support vector
- mammogram images
- feature selection
- microcalcification clusters
- decision trees
- breast cancer diagnosis
- naive bayes
- classification accuracy
- computer aided detection
- support vector machine
- linear svm
- feature set
- feature ranking
- classification models
- classification trees
- logistic regression models
- loss function
- bayesian classifier
- computer aided diagnosis
- bladder cancer
- svm classifier
- feature space
- survival analysis
- text classification
- text categorization
- feature subset
- training set
- machine learning
- information gain
- class labels
- feature extraction
- nearest neighbor
- breast cancer patients
- training data
- feature vectors
- training samples
- cross validation