An ensemble machine learning approach to predict survival in breast cancer.
Amira DjebbariZiying LiuSieu PhanFazel FamiliPublished in: Int. J. Comput. Biol. Drug Des. (2008)
Keyphrases
- breast cancer
- survival analysis
- machine learning
- breast cancer patients
- diagnosis of breast cancer
- breast cancer diagnosis
- learning algorithm
- early detection
- computer aided diagnosis
- roc analysis
- ensemble methods
- machine learning methods
- feature selection
- mammogram images
- logistic regression
- information extraction
- model selection
- decision trees
- cad systems
- bladder cancer
- text classification
- computer aided detection
- evolutionary computing
- predictive modeling
- random forest
- data mining
- data mining methods
- regression model
- training set
- data analysis
- pairwise
- support vector machine
- cancer patients
- training data
- benign and malignant
- data mining and statistical
- microcalcification clusters