Dempster-Shafer Theory Based Feature Selection with Sparse Constraint for Outcome Prediction in Cancer Therapy.
Chunfeng LianSu RuanThierry DenoeuxHua LiPierre VeraPublished in: MICCAI (3) (2015)
Keyphrases
- outcome prediction
- dempster shafer theory
- feature selection
- cancer treatment
- belief functions
- breast cancer
- genomic data
- combination rule
- fusion algorithm
- high dimensional
- gene expression data
- text categorization
- dempster shafer
- classification accuracy
- feature extraction
- gene expression datasets
- text classification
- protein protein interaction networks
- feature space
- machine learning
- gene selection
- radiation therapy
- microarray data
- high dimensionality
- decision support
- pattern recognition
- feature subset
- data fusion
- naive bayes
- support vector machine