Comparing breast cancer treatments using automatically detected surrogate and clinically relevant outcomes entities from text.
Catherine BlakeRebecca KehmPublished in: J. Biomed. Informatics X (2019)
Keyphrases
- breast cancer
- automatically detected
- clinically relevant
- prognostic factors
- diagnosis of breast cancer
- logistic regression
- breast cancer diagnosis
- early detection
- computer aided diagnosis
- cancer patients
- computer aided detection
- survival analysis
- bladder cancer
- text mining
- breast cancer patients
- digital mammography
- mammogram images
- breast cancer detection
- cad systems
- benign and malignant
- computer aided
- pairwise
- machine learning
- cancer datasets
- bayesian networks
- decision trees
- feature selection