A hybrid data mining approach for identifying the temporal effects of variables associated with breast cancer survival.
Serhat SimsekUgur KursuncuEyyub KibisMusheera AnisAbdellatifAli DagPublished in: Expert Syst. Appl. (2020)
Keyphrases
- breast cancer
- survival analysis
- breast cancer patients
- breast cancer diagnosis
- diagnosis of breast cancer
- early detection
- logistic regression
- computer aided diagnosis
- computer aided detection
- bladder cancer
- digital mammography
- cancer patients
- regression model
- mammogram images
- cad systems
- breast tissue
- decision support system
- decision trees
- data mining and statistical
- microcalcification clusters
- machine learning