Predicting Outcomes of Hormone and Chemotherapy in the Molecular Taxonomy of Breast Cancer International Consortium (METABRIC) Study by Biochemically-inspired Machine Learning.
Iman RezaeianEliseos J. MucakiKatherina BaranovaHuy Quang PhamDimo AngelovAlioune NgomLuis RuedaPeter K. RoganPublished in: F1000Research (2016)
Keyphrases
- breast cancer
- machine learning
- prognostic factors
- survival analysis
- early detection
- computer aided diagnosis
- logistic regression
- breast cancer diagnosis
- roc analysis
- computer aided detection
- statistical analysis
- cad systems
- cancer patients
- text mining
- computer aided
- data mining
- knowledge discovery
- breast cancer detection
- diagnosis of breast cancer
- feature selection
- bladder cancer