Research and applications: Machine learning for predicting the response of breast cancer to neoadjuvant chemotherapy.
Subramani ManiYukun ChenXia LiLori R. ArlinghausA. Bapsi ChakravarthyVandana G. AbramsonSandeep R. BhaveMia A. LevyHua XuThomas E. YankeelovPublished in: J. Am. Medical Informatics Assoc. (2013)
Keyphrases
- breast cancer
- machine learning
- dce mri
- roc analysis
- breast cancer diagnosis
- survival analysis
- diagnosis of breast cancer
- logistic regression
- computer aided diagnosis
- early detection
- knowledge acquisition
- decision trees
- benign and malignant
- mammogram images
- prognostic factors
- feature selection
- computer aided detection
- learning algorithm
- data mining
- anatomical structures
- regression model
- text classification
- cancer patients
- text mining
- data analysis