Breast Cancer Classification with Missing Data Imputation.
Imane ChliouiAli IdriIbtissam AbnaneJuan Manuel Carrillo-de-GeaJosé Luis Fernández AlemánPublished in: WorldCIST (3) (2019)
Keyphrases
- breast cancer
- breast cancer diagnosis
- bladder cancer
- missing data imputation
- computer aided detection
- mammogram images
- cancer datasets
- diagnosis of breast cancer
- microcalcification clusters
- imputation methods
- logistic regression
- breast tissue
- breast cancer patients
- benign and malignant
- computer aided diagnosis
- data preparation
- pattern recognition
- support vector machine svm
- support vector
- lung nodules
- text classification
- feature vectors
- preprocessing
- decision trees
- nearest neighbour
- high dimensionality
- support vector machine
- knowledge discovery
- classification accuracy
- training set
- feature extraction