Hadamard Kernel SVM with applications for breast cancer outcome predictions.
Hao JiangWai-Ki ChingWai-Shun CheungWenpin HouHong YinPublished in: BMC Syst. Biol. (2017)
Keyphrases
- breast cancer
- support vector
- kernel function
- logistic regression
- feature space
- support vector machine svm
- diagnosis of breast cancer
- early detection
- support vector machine
- breast cancer diagnosis
- svm classification
- computer aided diagnosis
- prognostic factors
- feature selection
- survival analysis
- computer aided detection
- breast cancer detection
- machine learning
- knn
- classification accuracy
- cad systems
- digital mammography
- feature vectors
- breast tissue
- cancer patients
- training set
- loss function
- mammogram images
- cancer datasets
- data mining
- bladder cancer
- high dimensional
- breast cancer patients
- training data
- feature extraction
- data mining and statistical