Improving malignancy prediction through feature selection informed by nodule size ranges in NLST.
Dmitry CherezovSamuel H. HawkinsDmitry B. GoldgofLawrence O. HallYoganand BalagurunathanRobert J. GilliesMatthew B. SchabathPublished in: SMC (2016)
Keyphrases
- feature selection
- computer aided diagnosis
- prediction accuracy
- multi class
- prediction model
- machine learning
- feature extraction
- prediction algorithm
- feature set
- mutual information
- text classification
- information gain
- breast cancer
- parameter optimization
- high dimensionality
- text categorization
- feature subset
- gene expression data
- feature weighting
- discriminative features
- dimensionality reduction
- support vector
- stepwise regression