Breast cancer drug toxicity prediction Based on AdaBoost Extremely Random Tree.
Ziyue FanShuyue WangZhijun LiZhongsui XiePublished in: BIC (2022)
Keyphrases
- breast cancer
- survival analysis
- bladder cancer
- outcome prediction
- diagnosis of breast cancer
- breast cancer diagnosis
- early detection
- logistic regression
- computer aided diagnosis
- prediction accuracy
- drug discovery
- chemical compounds
- computer aided detection
- digital mammography
- decision trees
- support vector
- ensemble methods
- prognostic factors
- breast tissue
- mammogram images
- learning algorithm
- breast cancer patients
- cancer patients
- benign and malignant
- training data
- breast cancer detection
- machine learning
- cancer datasets
- dce mri
- prostate cancer
- feature selection
- regression model
- image analysis